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Background: In 2022, the U.S. Centers for Disease Control and Prevention collaborated with implementing partners, African Field Epidemiology Network and Sydani Group, to support COVID-19 vaccination efforts in Nigeria. To characterize the costs of COVID-19 vaccination, this study evaluated financial costs per dose for activities implemented to support the intensification campaign for COVID-19 vaccination., Methods: This retrospective evaluation collected secondary data from existing expenditure and programmatic records on resource utilization to roll out COVID-19 vaccination during 2022. The study included incremental financial costs of the activities implemented to support an intensification campaign for COVID-19 vaccination across nine states and six administrative levels in Nigeria from the perspective of the external donor (U.S. Government). Costs for vaccines and injection supplies, transport of vaccines, and any economic costs, including government in-kind contributions, were not included. All costs were converted from Nigerian Naira to 2022 U.S. Dollars (US$)., Results: The estimated financial delivery cost of the COVID-19 vaccination intensification campaign was US$0.84 per dose (total expenditure of US$6.29 million to administer 7,461,971 doses). Most of the financial resources were used for fieldwork activities (86%), followed by monitoring and supervision activities (8%), coordination activities (5%), and training-related activities (1%). Labor (58%) and travel (37%) were the resource inputs that accounted for the majority of the cost, while shares of other resource inputs were marginal (1% for each). Most labor costs (79%) were spent on payments for mass vaccination campaign teams, including pay-for-performance incentives. By administrative level, the largest share of costs (46%) was for pay-for-performance incentives at the community, health facility, or campus levels combined, followed by local government area level (24%), community level only (15%), state level (9%), national level (3%), campus level only (1%), and health facility level only (< 1%)., Conclusions: Findings from the evaluation can help to inform resources needed for vaccination activities to respond to future outbreaks and pandemics in resource-limited settings, particularly to reach new target populations not regularly included in routine childhood immunization delivery., (© 2024. This is a U.S. Government work and not under copyright protection in the US; foreign copyright protection may apply.)

As part of the Immunization Agenda 2030, a global strategy for comprehensive vaccine-preventable disease (VPD) surveillance was developed. The strategy provides guidance on the establishment of high-quality surveillance systems that are 1) comprehensive, encompassing all VPD threats faced by a country, in all geographic areas and populations, using all laboratory and other methodologies required for timely and reliable disease detection; 2) integrated, wherever possible, taking advantage of shared infrastructure for specific components of surveillance such as data management and laboratory systems; 3) inclusive of all relevant data needed to guide immunization program management actions. Such surveillance systems should generate data useful to strengthen national immunization programs, inform vaccine introduction decision-making, and reinforce timely and effective detection and response. All stakeholders in countries and globally should work to achieve this vision., Competing Interests: Declaration of Competing Interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (Copyright © 2024 World Health Organization. Published by Elsevier Ltd.. All rights reserved.)

Globally, there were an estimated 9.8 million measles cases and 207 500 measles deaths in 2019. As the effort to eliminate measles around the world continues, modeling remains a valuable tool for public health decision-makers and program implementers. This study presents a novel approach to the use of a yearly transition function that formulates mathematically the vaccine schedules for different age groups while accounting for the effects of the age of vaccination, the timing of vaccination, and disease seasonality on the yearly number of measles cases in a country. The methodology presented adds to an existing modeling framework and expands its analysis, making its utilization more adjustable for the user and contributing to its conceptual clarity. This article also adjusts for the temporal interaction between vaccination and exposure to disease, applying adjustments to estimated yearly counts of cases and the number of vaccines administered that increase population immunity. These new model features provide the ability to forecast and compare the effects of different vaccination timing scenarios and seasonality of transmission on the expected disease incidence. Although the work presented is applied to the example of measles, it has potential relevance to modeling other vaccine-preventable diseases., (© 2023 John Wiley & Sons Ltd.)

Background: Historically, lack of data on cost-effectiveness of influenza vaccination has been identified as a barrier to vaccine use in low- and middle-income countries. We conducted a systematic review of economic evaluations describing (1) costs of influenza illness; (2) costs of influenza vaccination programs; and (3) vaccination cost-effectiveness from low- and middle-income countries to assess if gaps persist that could hinder global implementation of influenza vaccination programs., Methods and Findings: We performed a systematic search in Medline, Embase, Cochrane Library, CINAHL, and Scopus in January 2022 and October 2023 using a combination of the following key words: "influenza" AND "cost" OR "economic." The search included studies with publication years 2012 through 2022. Studies were eligible if they (1) presented original, peer-reviewed findings on cost of illness, cost of vaccination program, or cost-effectiveness of vaccination for seasonal influenza; and (2) included data for at least 1 low- or middle-income country. We abstracted general study characteristics and data specific to each of the 3 study types. Of 54 included studies, 26 presented data on cost-effectiveness, 24 on cost-of-illness, and 5 on program costs. Represented countries were classified as upper-middle income (UMIC; n = 12), lower-middle income (LMIC; n = 7), and low-income (LIC; n = 3). The most evaluated target groups were children (n = 26 studies), older adults (n = 17), and persons with chronic medical conditions (n = 12); fewer studies evaluated pregnant persons (n = 9), healthcare workers (n = 5), and persons in congregate living settings (n = 1). Costs-of-illness were generally higher in UMICs than in LMICs/LICs; however, the highest national economic burden, as a percent of gross domestic product and national health expenditure, was reported from an LIC. Among studies that evaluated the cost-effectiveness of influenza vaccine introduction, most (88%) interpreted at least 1 scenario per target group as either cost-effective or cost-saving, based on thresholds designated in the study. Key limitations of this work included (1) heterogeneity across included studies; (2) restrictiveness of the inclusion criteria used; and (3) potential for missed influenza burden from use of sentinel surveillance systems., Conclusions: The 54 studies identified in this review suggest an increased momentum to generate economic evidence about influenza illness and vaccination from low- and middle-income countries during 2012 to 2022. However, given that we observed substantial heterogeneity, continued evaluation of the economic burden of influenza illness and costs/cost-effectiveness of influenza vaccination, particularly in LICs and among underrepresented target groups (e.g., healthcare workers and pregnant persons), is needed. Use of standardized methodology could facilitate pooling across settings and knowledge sharing to strengthen global influenza vaccination programs., Competing Interests: The authors have declared that no competing interests exist., (Copyright: This is an open access article, free of all copyright, and may be freely reproduced, distributed, transmitted, modified, built upon, or otherwise used by anyone for any lawful purpose. The work is made available under the Creative Commons CC0 public domain dedication.)

Vaccines and vitamin A supplementation (VAS) are financed by donors in several countries, indicating that challenges remain with achieving sustainable government financing of these critical health commodities. This qualitative study aimed to explore political economy variables of actors' interests, roles, power and commitment to ensure government financing of vaccines and VAS. A total of 77 interviews were conducted in Burundi, Comoros, Ethiopia, Madagascar, Malawi and Zimbabwe. Governments and development partners had similar interests. Donor commitment to vaccines and VAS was sometimes dependent on the priorities and political situation of the donor country. Governments' commitment to financing vaccines was demonstrated through policy measures, such as enactment of immunization laws. Explicit government financial commitment to VAS was absent in all six countries. Some development partners were able to influence governments directly via allocation of health funding while others influenced indirectly through coordination, consolidation and networks. Government power was exercised through multiple systemic and individual processes, including hierarchy, bureaucracy in governance and budgetary process, proactiveness of Ministry of Health officials in engaging with Ministry of Finance, and control over resources. Enablers that were likely to increase government commitment to financing vaccines and VAS included emerging reforms, attention to the voice of citizens and improvements in the domestic economy that in turn increased government revenues. Barriers identified were political instability, health sector inefficiencies, overly complicated bureaucracy, frequent changes of health sector leadership and non-health competing needs. Country governments were aware of their role in financing vaccines, but only a few had made tangible efforts to increase government financing. Discussions on government financing of VAS were absent. Development partners continue to influence government health commodity financing decisions. The political economy environment and contextual factors work together to facilitate or impede domestic financing., (© The Author(s) 2023. Published by Oxford University Press in association with The London School of Hygiene and Tropical Medicine. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com.)

Navi Mumbai Municipal Corporation (NMMC), a local government in Mumbai, India, implemented the first public sector TCV campaign in 2018. This study estimated the delivery costs of this TCV campaign using a Microsoft Excel-based tool based on a micro-costing approach from the government (NMMC) perspective. The campaign's financial (direct expenditures) and economic costs (financial costs plus the monetized value of additional donated or existing items) incremental to the existing immunization program were collected. The data collection methods involved consultations with NMMC staff, reviews of financial and programmatic records of NMMC and the World Health Organization (WHO), and interviews with the health staff of sampled urban health posts (UHPs). Three UHPs were purposively sampled, representing the three dominant residence types in the catchment area: high-rise, slum, and mixed (high-rise and slum) areas. The high-rise area UHP had lower vaccination coverage (47%) compared with the mixed area (71%) and slum area UHPs (76%). The financial cost of vaccine and vaccination supplies (syringes, safety boxes) was $1.87 per dose, and the economic cost was $2.96 per dose in 2018 US dollars. Excluding the vaccine and vaccination supplies cost, the financial delivery cost across the 3 UHPs ranged from $0.37 to $0.53 per dose, and the economic delivery cost ranged from $1.37 to $3.98 per dose, with the highest delivery costs per dose in the high-rise areas. Across all 11 UHPs included in the campaign, the weighted average financial delivery cost was $0.38 per dose, and the economic delivery cost was $1.49 per dose. WHO has recommended the programmatic use of TCV in typhoid-endemic countries, and Gavi has included TCV in its vaccine portfolio. This first costing study of large-scale TCV introduction within a public sector immunization program provides empirical evidence for policymakers, stakeholders, and future vaccine campaign planning., Competing Interests: The authors have declared that no competing interests exist., (Copyright: This is an open access article, free of all copyright, and may be freely reproduced, distributed, transmitted, modified, built upon, or otherwise used by anyone for any lawful purpose. The work is made available under the Creative Commons CC0 public domain dedication.)

Background: Understanding the economics of vaccination is essential to developing immunization strategies that can be employed successfully with limited resources, especially when vaccinating populations that are hard-to-reach., Methods: Based on the input from interviews with 24 global experts on immunization economics, we developed a systems map of the mechanisms (i.e., necessary steps or components) involved in vaccination, and associated costs and benefits, focused at the service delivery level. We used this to identify the mechanisms that may be different for hard-to-reach populations., Results: The systems map shows different mechanisms that determine whether a person may or may not get vaccinated and the potential health and economic impacts of doing so. The map is divided into two parts: 1) the costs of vaccination, representing each of the mechanisms involved in getting vaccinated (n = 23 vaccination mechanisms), their associated direct vaccination costs (n = 18 vaccination costs), and opportunity costs (n = 5 opportunity costs), 2) the impact of vaccination, representing mechanisms after vaccine delivery (n = 13 impact mechanisms), their associated health effects (n = 10 health effects for beneficiary and others), and economic benefits (n = 13 immediate and secondary economic benefits and costs). Mechanisms that, when interrupted or delayed, can result in populations becoming hard-to-reach include getting vaccines and key stakeholders (e.g., beneficiaries/caregivers, vaccinators) to a vaccination site, as well as vaccine administration at the site., Conclusion: Decision-makers can use this systems map to understand where steps in the vaccination process may be interrupted or weak and identify where gaps exist in the understanding of the economics of vaccination. With improved understanding of system-wide effects, this map can help decision-makers inform targeted interventions and policies to increase vaccination coverage in hard-to-reach populations., Competing Interests: Declaration of Competing Interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (Copyright © 2021 Elsevier Ltd. All rights reserved.)

Introduction: Economic evidence on how much it may cost for vaccinators to reach populations is important to plan vaccination programs. Moreover, knowing the incremental costs to reach populations that have traditionally been undervaccinated, especially those hard-to-reach who are facing supply-side barriers to vaccination, is essential to expanding immunization coverage to these populations., Methods: We conducted a systematic review to identify estimates of costs associated with getting vaccinators to all vaccination sites. We searched PubMed and the Immunization Delivery Cost Catalogue (IDCC) in 2019 for the following costs to vaccinators: (1) training costs; (2) labor costs, per diems, and incentives; (3) identification of vaccine beneficiary location; and (4) travel costs. We assessed if any of these costs were specific to populations that are hard-to-reach for vaccination, based on a framework for examining supply-side barriers to vaccination., Results: We found 19 studies describing average vaccinator training costs at $0.67/person vaccinated or targeted (SD $0.94) and $0.10/dose delivered (SD $0.07). The average cost for vaccinator labor and incentive costs across 29 studies was $2.15/dose (SD $2.08). We identified 13 studies describing intervention costs for a vaccinator to know the location of a beneficiary, with an average cost of $19.69/person (SD $26.65), and six studies describing vaccinator travel costs, with an average cost of $0.07/dose (SD $0.03). Only eight of these studies described hard-to-reach populations for vaccination; two studies examined incremental costs per dose to reach hard-to-reach populations, which were 1.3-2 times higher than the regular costs. The incremental cost to train vaccinators was $0.02/dose, and incremental labor costs for targeting hard-to-reach populations were $0.16-$1.17/dose., Conclusion: Additional comparative costing studies are needed to understand the potential differential costs for vaccinators reaching the vaccination sites that serve hard-to-reach populations. This will help immunization program planners and decision-makers better allocate resources to extend vaccination programs., (Copyright © 2021 Elsevier Ltd. All rights reserved.)

Introduction: Understanding the costs to increase vaccination demand among under-vaccinated populations, as well as costs incurred by beneficiaries and caregivers for reaching vaccination sites, is essential to improving vaccination coverage. However, there have not been systematic analyses documenting such costs for beneficiaries and caregivers seeking vaccination., Methods: We searched PubMed, Scopus, and the Immunization Delivery Cost Catalogue (IDCC) in 2019 for the costs for beneficiaries and caregivers to 1) seek and know how to access vaccination (i.e., costs to immunization programs for social mobilization and interventions to increase vaccination demand), 2) take time off from work, chores, or school for vaccination (i.e., productivity costs), and 3) travel to vaccination sites. We assessed if these costs were specific to populations that faced other non-cost barriers, based on a framework for defining hard-to-reach and hard-to-vaccinate populations for vaccination., Results: We found 57 studies describing information, education, and communication (IEC) costs, social mobilization costs, and the costs of interventions to increase vaccination demand, with mean costs per dose at $0.41 (standard deviation (SD) $0.83), $18.86 (SD $50.65) and $28.23 (SD $76.09) in low-, middle-, and high-income countries, respectively. Five studies described productivity losses incurred by beneficiaries and caregivers seeking vaccination ($38.33 per person; SD $14.72; n = 3). We identified six studies on travel costs incurred by beneficiaries and caregivers attending vaccination sites ($11.25 per person; SD $9.54; n = 4). Two studies reported social mobilization costs per dose specific to hard-to-reach populations, which were 2-3.5 times higher than costs for the general population. Eight studies described barriers to vaccination among hard-to-reach populations., Conclusion: Social mobilization/IEC costs are well-characterized, but evidence is limited on costs incurred by beneficiaries and caregivers getting to vaccination sites. Understanding the potential incremental costs for populations facing barriers to reach vaccination sites is essential to improving vaccine program financing and planning., Competing Interests: Declaration of Competing Interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (Copyright © 2021. Published by Elsevier Ltd.)

Background: We conducted a cost of illness study to assess the economic burden of pediatric enteric fever (typhoid and paratyphoid) in Bangladesh. Results can inform public health policies to prevent enteric fever., Methods: The study was conducted at 2 pediatric health facilities in Dhaka. For the patient and caregiver's perspective, we administered questionnaires on costs incurred from illness onset until the survey dates to caregivers of patients with blood culture positive cases at enrollment and 6 weeks later to estimate the direct medical, direct nonmedical, and indirect costs. From the perspective of the health care provider, we collected data on quantities and prices of resources used by the 2 hospitals to estimate the direct medical economic costs to treat a case of enteric fever. We collected costs in Bangladeshi takas and converted them into 2018 US dollars. We multiplied the unit cost per procedure by the frequency of procedures in the surveillance case cohort to calculate the average cost per case., Results: Among the 1772 patients from whom we collected information, the median cost of illness per case of enteric fever from the patient and caregiver perspective was US $64.03 (IQR: US $33.90 -$173.48). Median direct medical and nonmedical costs per case were 3% of annual labor income across the sample. From the perspective of the healthcare provider, the average direct medical cost per case was US $58.64 (range: US $37.25 at Hospital B, US $73.27 at Hospital A)., Conclusions: Our results show substantial economic burden of enteric fever in Bangladesh, with higher costs for patients receiving inpatient care. As antimicrobial resistance increases globally, the cost of illness could increase, due to more expensive and potent drugs required for treatment., (© The Author(s) 2020. Published by Oxford University Press for the Infectious Diseases Society of America.)

Background: Enteric fever is endemic in Nepal and its economic burden is unknown. The objective of this study was to estimate the cost of illness due to enteric fever (typhoid and paratyphoid) at selected sites in Nepal., Methods: We implemented a study at 2 hospitals in Nepal to estimate the cost per case of enteric fever from the perspectives of patients, caregivers, and healthcare providers. We collected direct medical, nonmedical, and indirect costs per blood culture-confirmed case incurred by patients and their caregivers from illness onset until after enrollment and 6 weeks later. We estimated healthcare provider direct medical economic costs based on quantities and prices of resources used to diagnose and treat enteric fever, and procedure frequencies received at these facilities by enrolled patients. We collected costs in Nepalese rupees and converted them into 2018 US dollars., Results: We collected patient and caregiver cost of illness information for 395 patients, with a median cost of illness per case of $59.99 (IQR, $24.04-$151.23). Median direct medical and nonmedical costs per case represented ~3.5% of annual individual labor income. From the healthcare provider perspective, the average direct medical economic cost per case was $79.80 (range, $71.54 [hospital B], $93.43 [hospital A])., Conclusions: Enteric fever can impose a considerable economic burden on patients, caregivers, and health facilities in Nepal. These new estimates of enteric fever cost of illness can improve evaluation and modeling of the costs and benefits of enteric fever-prevention measures., (© The Author(s) 2020. Published by Oxford University Press for the Infectious Diseases Society of America.)

Background: The objective of this study was to estimate the cost of illness from enteric fever (typhoid and paratyphoid) at selected sites in Pakistan., Methods: We implemented a cost-of-illness study in 4 hospitals as part of the Surveillance for Enteric Fever in Asia Project (SEAP) II in Pakistan. From the patient and caregiver perspective, we collected direct medical, nonmedical, and indirect costs per case of enteric fever incurred since illness onset by phone after enrollment and 6 weeks later. From the health care provider perspective, we collected data on quantities and prices of resources used at 3 of the hospitals, to estimate the direct medical economic costs to treat a case of enteric fever. We collected costs in Pakistani rupees and converted them into 2018 US dollars. We multiplied the unit cost per procedure by the frequency of procedures in the surveillance case cohort to calculate the average cost per case., Results: We collected patient and caregiver information for 1029 patients with blood culture-confirmed enteric fever or with a nontraumatic terminal ileal perforation, with a median cost of illness per case of US $196.37 (IQR, US $72.89-496.40). The median direct medical and nonmedical costs represented 8.2% of the annual labor income. From the health care provider perspective, the estimated average direct medical cost per case was US $50.88 at Hospital A, US $52.24 at Hospital B, and US $11.73 at Hospital C., Conclusions: Enteric fever can impose a considerable economic burden in Pakistan. These new estimates of the cost of illness of enteric fever can improve evaluation and modeling of the costs and benefits of enteric fever prevention and control measures, including typhoid conjugate vaccines., (© The Author(s) 2020. Published by Oxford University Press for the Infectious Diseases Society of America.)

This article presents a selection of practical issues, questions, and tradeoffs in methodological choices to consider when conducting a cost of illness (COI) study on enteric fever in low- to lower-middle-income countries. The experiences presented are based on 2 large-scale COI studies embedded within the Surveillance for Enteric Fever in Asia Project II (SEAP II), in Bangladesh, Nepal, and Pakistan; and the Severe Typhoid Fever Surveillance in Africa (SETA) Program in Burkina Faso, Ethiopia, Ghana, and Madagascar. Issues presented include study design choices such as controlling for background patient morbidity and healthcare costs, time points for follow-up, data collection methods for sensitive income and spending information, estimating enteric fever-specific health facility cost information, and analytic approaches in combining patient and health facility costs. The article highlights the potential tradeoffs in time, budget, and precision of results to assist those commissioning, conducting, and interpreting enteric fever COI studies., (© The Author(s) 2020. Published by Oxford University Press for the Infectious Diseases Society of America.)

The estimated 50 million nomadic pastoralists in Africa are among the most "hard-to-reach" populations for health-service delivery. While data are limited, some studies have identified these communities as potential disease reservoirs relevant to neglected tropical disease programs, particularly those slated for elimination and eradication. Although previous literature has emphasized the role of these populations' mobility, the full range of factors influencing health service utilization has not been examined systematically. We systematically reviewed empirical literature on health services uptake among African nomadic pastoralists from seven online journal databases. Papers meeting inclusion criteria were reviewed using STROBE- and PRISMA-derived guidelines. Study characteristics were summarized quantitatively, and 10 key themes were identified through inductive qualitative coding. One-hundred two papers published between 1974-2019 presenting data from 16 African countries met our inclusion criteria. Among the indicators of study-reporting quality, limitations (37%) and data analysis were most frequently omitted (18%). We identified supply- and demand-side influences on health services uptake that related to geographic access (79%); service quality (90%); disease-specific knowledge and awareness of health services (59%); patient costs (35%); contextual tailoring of interventions (75%); social structure and gender (50%); subjects' beliefs, behaviors, and attitudes (43%); political will (14%); social, political, and armed conflict (30%); and community agency (10%). A range of context-specific factors beyond distance to facilities or population mobility affects health service uptake. Approaches tailored to the nomadic pastoralist lifeway, e.g., that integrated human and veterinary health service delivery (a.k.a., "One Health") and initiatives that engaged communities in program design to address social structures were especially promising. Better causal theorization, transdisciplinary and participatory research methods, clearer operational definitions and improved measurement of nomadic pastoralism, and key factors influencing uptake, will improve our understanding of how to increase accessibility, acceptability, quality and equity of health services to nomadic pastoralist populations., Competing Interests: The authors have declared that no competing interests exist

Background: High-quality vaccination data are critical to planning, implementation and evaluation of immunization programs. However, sub-optimal administrative vaccination data quality in low- and middle-income countries persist for heterogeneous reasons, though most relate to organizational factors and human behavior. The nationwide Data Improvement Team (DIT) strategy in Uganda aimed to strengthen human resource capacity to generate quality administrative vaccination data at the health facility., Methods: A financial cost analysis of the Uganda DIT strategy (2014-2016) was conducted from the program funder perspective. Activity-based micro-costing from funder financial and program monitoring records was used to estimate total and unit costs by program area (in 2016 US dollars). Hypothetical scenarios were developed to illustrate potential approaches to reducing costs., Results: Over 25 months the DIT strategy was implemented in all 116 operational districts and 3443 (89%) health facilities in Uganda at a total financial cost of US $575 275. Training and deployment of DITs accounted for the highest proportion of expenditure across program areas (69%). Transport, per diems, lodging, and honoraria for DIT members and national supervisors were the main cost drivers of the strategy. Deployment of 557 DIT members cost US $839 per DIT member, US $4 030 per district, and US $136 per health facility. The estimated opportunity cost of government staff time wasn't a major cost driver (2.5%) of total cost., Conclusion: The results provide the first estimates of the magnitude and drivers of cost to implement a national workforce capacity building strategy to improve administrative vaccination data quality in a low- or middle-income country. Financial costs are a critical input to combine with future outcome data to describe the cost of strategies relative to performance outcomes. The operational costs of the strategy were modest (0.5-1.6%) relative to the estimated operational costs of Uganda's national immunization program., Competing Interests: Declaration of Competing Interest The authors declare the following financial interests/personal relationships which may be considered as potential competing interests: AEH has received grant support from GlaxoSmithKline for investigator-driven research unrelated to the work presented in this manuscript. All other authors have no competing interests to declare., (Copyright © 2019 Elsevier Ltd. All rights reserved.)

Background: Since 2012, WHO has recommended influenza vaccination for health care workers (HCWs), which has different costs than routine infant immunization; however, few cost estimates exist from low- and middle-income countries. Albania, a middle-income country, has self-procured influenza vaccine for some HCWs since 2014, supplemented by vaccine donations since 2016 through the Partnership for Influenza Vaccine Introduction (PIVI). We conducted a cost analysis of HCW influenza vaccination in Albania to inform scale-up and sustainability decisions., Methods: We used the WHO's Seasonal Influenza Immunization Costing Tool (SIICT) micro-costing approach to estimate incremental costs from the government perspective of facility-based vaccination of HCWs in Albania with trivalent inactivated influenza vaccine for the 2018-19 season based on 2016-17 season data from administrative records, key informant consultations, and a convenience sample of site visits. Scenario analyses varied coverage, vaccine presentation, and vaccine prices., Results: In the baseline scenario, 13,377 HCWs (70% of eligible HCWs) would be vaccinated at an incremental financial cost of US$61,296 and economic cost of US$161,639. Vaccine and vaccination supplies represented the largest share of financial (89%) and economic costs (44%). Per vaccinated HCW financial cost was US$4.58 and economic cost was US$12.08 including vaccine and vaccination supplies (US$0.49 and US$6.76 respectively without vaccine and vaccination supplies). Scenarios with higher coverage, pre-filled syringes, and higher vaccine prices increased total economic and financial costs, although the economic cost per HCW vaccinated decreased with higher coverage as some costs were spread over more HCWs. Across all scenarios, economic costs were <0.07% of Albania's estimated government health expenditure, and <5.07% of Albania's estimated immunization program economic costs., Conclusions: Cost estimates can help inform decisions about scaling up influenza vaccination for HCWs and other risk groups., (Published by Elsevier Ltd.)

São Tomé and Príncipe (STP) uses a selective hepatitis B birth-dose vaccination (HepB-BD) strategy targeting infants born to mothers who test positive for hepatitis B virus (HBV) surface antigen. We conducted a field assessment and economic analysis of the HepB-BD strategy to provide evidence to guide development of cost-effective policies to prevent perinatal HBV transmission in STP. We interviewed national stakeholders and key informants to understand policies, knowledge, and practices related to HepB-BD, vaccine management, and data recording/reporting. Cost-effectiveness of the existing strategy was compared with an alternate approach of universal HepB-BD to all newborns using a decision analytic model. Incremental cost-effectiveness ratios (ICERs) were calculated in 2015 USD per HBV-associated death and per chronic HBV case prevented, from the STP health-care system perspective. We found that STP lacked national or facility-specific written policies and procedures related to HepB-BD. Timely HepB-BD to eligible newborns was considered a high priority, although timeliness of HepB-BD was not monitored. Compared with the existing selective vaccination strategy, universal HepB-BD would result in a 19% decrease in chronic HBV infections per year at overall cost savings of approximately 44% (savings of USD 5,441 each year). We estimate an ICER of USD 5,012 saved per HBV-associated death averted. The existing selective HepB-BD strategy in STP could be improved through documentation of policies, procedures, and timeliness of HepB-BD. Expansion to universal newborn HepB-BD without maternal screening is feasible and could result in cost savings if actual implementation costs and effectiveness fall within the ranges modeled.

Objective: To determine the cost of Zimbabwe's human papillomavirus (HPV) vaccination demonstration project., Methods: The government of Zimbabwe conducted the project from 2014-2015, delivering two doses of HPV vaccine to 10-year-old girls in two districts. School delivery was the primary vaccination strategy, with health facilities and outreach as secondary strategies. A retrospective cost analysis was conducted from the provider perspective. Financial costs (government expenditure) and economic costs (financial plus the value of existing or donated resources including vaccines) were calculated by activity, per dose and per fully immunized girl., Results: The project delivered 11 599 vaccine doses, resulting in 5724 fully immunized girls (5540 at schools, 168 at health facilities and 16 at outreach points). The financial cost for service delivery per fully immunized girl was United States dollars (US$) 5.34 in schools, US$ 34.90 at health facilities and US$ 288.63 at outreach; the economic costs were US$ 17.39, US$ 41.25 and US$ 635.84, respectively. The mean financial cost per dose was US$ 19.76 and per fully immunized girl was US$ 40.03 (economic costs were US$ 45.00 and US$ 91.19, respectively). The largest number of doses delivered (5788) occurred during the second vaccination round (the second group's first dose concurrently delivered with the first group's second dose), resulting in the lowest financial and economic service delivery costs per dose: US$ 1.97 and US$ 6.79, respectively., Conclusion: The mean service delivery cost was lower in schools (primary strategy) and when more girls were vaccinated in each round, demonstrating scale efficiency.

Background: The Xpert ® MTB/RIF (Xpert) test has been shown to be effective and cost-effective for diagnosing tuberculosis (TB) under conditions with high HIV prevalence and HIV-TB co-infection but less is known about Xpert's cost in low HIV prevalence settings. Cambodia, a country with low HIV prevalence (0.7%), high TB burden, and low multidrug-resistant (MDR) TB burden (1.4% of new TB cases, 11% of retreatment cases) introduced Xpert into its TB diagnostic algorithms for people living with HIV (PLHIV) and people with presumptive MDR TB in 2012. The study objective was to estimate these algorithms' costs pre- and post-Xpert introduction in four provinces of Cambodia., Methods: Using a retrospective, ingredients-based microcosting approach, primary cost data on personnel, equipment, maintenance, supplies, and specimen transport were collected at four sites through observation, records review, and key informant consultations., Results: Across the sample facilities, the cost per Xpert test was US$33.88-US$37.11, clinical exam cost US$1.22-US$1.84, chest X-ray cost US$2.02-US$2.14, fluorescent microscopy (FM) smear cost US$1.56-US$1.93, Ziehl-Neelsen (ZN) smear cost US$1.26, liquid culture test cost US$11.63-US$22.83, follow-on work-up for positive culture results and Mycobacterium tuberculosis complex (MTB) identification cost US$11.50-US$14.72, and drug susceptibility testing (DST) cost US$44.26. Specimen transport added US$1.39-US$5.21 per sample. Assuming clinician adherence to the algorithms and perfect test accuracy, the normative cost per patient correctly diagnosed under the post-Xpert algorithms would be US$25-US$29 more per PLHIV and US$34-US$37 more per person with presumptive MDR TB (US$41 more per PLHIV when accounting for variable test sensitivity and specificity)., Conclusions: Xpert test unit costs could be reduced through lower cartridge prices, longer usable life of GeneXpert ® (Cepheid, USA) instruments, and increased test volumes; however, epidemiological and test eligibility conditions in Cambodia limit the number of specimens received at laboratories, leading to sub-optimal utilization of current instruments. Improvements to patient referral and specimen transport could increase test volumes and reduce Xpert test unit costs in this setting.

Background: Previous literature suggests that increasing numbers of development aid donors can reduce aid effectiveness but this has not been tested in the health sector, which has experienced substantial recent growth in aid volume and number of donors., Methods: Based on annual data for 1995-2010 on 139 low- and middle-income countries that received health sector aid from donors reporting to the OECD's Creditor Reporting System, the study used two-step system generalized method of moments regression models to test whether the number of health aid donors and an index of health aid donor fragmentation affect health services (measured by DTP3 immunization rate) or health outcomes (measured by infant mortality rate) for three subsectors of health aid., Results: For total health aid and for the general and basic health aid subsector, controlling for economic and political conditions, increases in the number of donors were associated with increases in DTP3 immunization rate and reductions in infant mortality while increases in the donor fragmentation index were associated with decreases in DTP3 immunization rate and increases in infant mortality, though none of these relationships were statistically significant. For the population and reproductive health aid subsector, a one percent increase in the number of donors was associated with a 0.23 percent decrease in DTP3 immunization ( P <  0.01) while a one percent increase in donor fragmentation was associated with a 0.54 percent increase in DTP3 immunization rate ( P <  0.01); associations with infant mortality rates for this subsector were similar to those for total health aid., Conclusion: The results do not provide clear evidence in support of the hypothesis that donor proliferation negatively impacts development results in the health sector. Aid effectiveness policy prescriptions should distinguish responses to donor proliferation versus donor fragmentation and be adapted to specific subsectors of health aid., (© The Author 2016. Published by Oxford University Press in association with The London School of Hygiene and Tropical Medicine. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com)

Development aid for health increased dramatically during the past two decades, raising concerns about inefficiency and lack of coherence among the growing number of global health donors. However, we lack a framework for how donor proliferation affects health program performance to inform theory-based evaluation of aid effectiveness policies. A review of academic and gray literature was conducted. Data were extracted from the literature sample on study design and evidence for hypothesized effects of donor proliferation on health program performance, which were iteratively grouped into categories and mapped into a new conceptual framework. In the framework, increases in the number of donors are hypothesized to increase inter-donor competition, transaction costs, donor poaching of recipient staff, recipient control over aid, and donor fragmentation, and to decrease donors' sense of accountability for overall development outcomes. There is mixed evidence on whether donor proliferation increases or decreases aid volume. These primary effects in turn affect donor innovation, information hoarding, and aid disbursement volatility, as well as recipient country health budget levels, human resource capacity, and corruption, and the determinants of health program performance. The net effect of donor proliferation on health will vary depending on the magnitude of the framework's competing effects in specific country settings. The conceptual framework provides a foundation for improving design of aid effectiveness practices to mitigate negative effects from donor proliferation while preserving its potential benefits., (Copyright © 2017 Elsevier Ltd. All rights reserved.)

Objective: We investigated whether or not changes in economic conditions during the 2008-2010 U.S. recession were associated with changes in Connecticut local health jurisdictions' (LHJs') revenue or personnel levels., Methods: We analyzed Connecticut Department of Public Health 2005-2012 annual report data from 91 Connecticut LHJs, as well as publicly available data on economic conditions. We used fixed- and random-effect regression models to test whether or not LHJ per capita revenues and full-time equivalent (FTE) personnel differed during and post-recession compared with pre-recession, or varied with recession intensity, as measured by unemployment rates and housing permits., Results: On average, total revenue per capita was significantly lower during and post-recession compared with pre-recession, with two-thirds of LHJs experiencing per capita revenue reductions. FTE personnel per capita were significantly lower post-recession. Changes in LHJ-level unemployment rates and housing permits did not explain the variation in revenue or FTE personnel per capita. Revenue and personnel differed significantly by LHJ organizational structure across all time periods., Conclusion: Economic downturns can substantially reduce resources available for local public health. LHJ organizational structure influences revenue levels and sources, with implications for the scope, quality, and efficiency of services delivered.

The study objective was to identify how donors and government agencies in Vietnam responded to donor proliferation in health sector aid between 1995 and 2012. Interviews were conducted with key informants from donor agencies, central government, and civil society in Hanoi in 2012 (n = 34 interviews), identified through OECD Creditor Reporting System data, internet research, and snowball sampling. Interview transcripts were coded for key themes using the constant comparative method. Documentary materials were used in triangulation and validation of key informant accounts. The study identified a timeline of key events and key themes. The number of donors providing health sector aid to Vietnam increased sharply during the late 1990s and early 2000s, then leveled off and declined between 2008 and 2012. Reasons for donor entry included Vietnam's health needs, perceptions of health as less politically sensitive, and donor interests in facilitating market access. Reasons for donor withdrawal included Vietnam's achievement of middle-income status, the global financial crisis, and donors' shifting global priorities. Key themes included high competition among donors, strategic actions by government to increase its control over aid, and the multiplicity of government units involved with health sector aid. The study concludes that central government and donor agencies in Vietnam responded to donor proliferation in health sector aid by endorsing aid effectiveness policies but implementing these policies inconsistently in practice. Whereas previous literature has emphasized donor proliferation's transaction costs, this study finds that the benefits of a large number of less coordinated donors may outweigh the increased administrative costs under certain conditions. In Vietnam, these conditions included relatively high capacity within government, low government dependence on aid, and government interest in receiving diverse donor recommendations. Vietnam's experience of donor proliferation followed by donor withdrawal illustrates a trajectory that other countries may experience as they transition from low-to middle-income status., (Copyright © 2015 Elsevier Ltd. All rights reserved.)

Objectives: We investigated the perspectives of local health jurisdiction (LHJ) directors on coping mechanisms used to respond to budget reductions and constraints on their decision-making., Methods: We conducted in-depth interviews with 17 LHJ directors. Interviews were audio recorded, transcribed, and analyzed using the constant comparative method., Results: LHJ directors use a range of coping mechanisms, including identifying alternative revenue sources, adjusting services, amending staffing arrangements, appealing to local political leaders, and forming strategic partnerships. LHJs also face constraints on their decision-making because of state and local statutory requirements, political priorities, pressures from other LHJs, and LHJ structure., Conclusions: LHJs respond creatively to budget cuts to maintain important public health services. Some LHJ adjustments to administrative resources may obscure the long-term costs of public health budget cuts in such areas as staff morale and turnover. Not all coping strategies are available to each LHJ because of the contextual constraints of its locality, pointing to important policy questions on identifying optimum jurisdiction size and improving efficiency.

Objective: To investigate how donors and government agencies responded to a proliferation of donors providing aid to Ghana's health sector between 1995 and 2012., Methods: We interviewed 39 key informants from donor agencies, central government and nongovernmental organizations in Accra. These respondents were purposively selected to provide local and international views from the three types of institutions. Data collected from the respondents were compared with relevant documentary materials - e.g. reports and media articles - collected during interviews and through online research., Findings: Ghana's response to donor proliferation included creation of a sector-wide approach, a shift to sector budget support, the institutionalization of a Health Sector Working Group and anticipation of donor withdrawal following the country's change from low-income to lower-middle income status. Key themes included the importance of leadership and political support, the internalization of norms for harmonization, alignment and ownership, tension between the different methods used to improve aid effectiveness, and a shift to a unidirectional accountability paradigm for health-sector performance., Conclusion: In 1995-2012, the country's central government and donors responded to donor proliferation in health-sector aid by promoting harmonization and alignment. This response was motivated by Ghana's need for foreign aid, constraints on the capacity of governmental human resources and inefficiencies created by donor proliferation. Although this decreased the government's transaction costs, it also increased the donors' coordination costs and reduced the government's negotiation options. Harmonization and alignment measures may have prompted donors to return to stand-alone projects to increase accountability and identification with beneficial impacts of projects.

Background: Use of depot medroxyprogesterone acetate (DMPA), often known by the brand name Depo-Provera, has increased globally, particularly in multiple low- and middle-income countries (LMICs). As a reproductive health technology that has scaled up in diverse contexts, DMPA is an exemplar product innovation with which to illustrate the utility of the AIDED model for scaling up family health innovations., Methods: We conducted a systematic review of the enabling factors and barriers to scaling up DMPA use in LMICs. We searched 11 electronic databases for academic literature published through January 2013 (n = 284 articles), and grey literature from major health organizations. We applied exclusion criteria to identify relevant articles from peer-reviewed (n = 10) and grey literature (n = 9), extracting data on scale up of DMPA in 13 countries. We then mapped the resulting factors to the five AIDED model components: ASSESS, INNOVATE, DEVELOP, ENGAGE, and DEVOLVE., Results: The final sample of sources included studies representing variation in geographies and methodologies. We identified 15 enabling factors and 10 barriers to dissemination, diffusion, scale up, and/or sustainability of DMPA use. The greatest number of factors were mapped to the ASSESS, DEVELOP, and ENGAGE components., Conclusions: Findings offer early empirical support for the AIDED model, and provide insights into scale up of DMPA that may be relevant for other family planning product innovations.

Objectives: We sought to provide a systematic review of the determinants of success in scaling up and sustaining community health worker (CHW) programs in low- and middle-income countries (LMICs)., Methods: We searched 11 electronic databases for academic literature published through December 2010 (n = 603 articles). Two independent reviewers applied exclusion criteria to identify articles that provided empirical evidence about the scale-up or sustainability of CHW programs in LMICs, then extracted data from each article by using a standardized form. We analyzed the resulting data for determinants and themes through iterated categorization., Results: The final sample of articles (n = 19) present data on CHW programs in 16 countries. We identified 23 enabling factors and 15 barriers to scale-up and sustainability, which were grouped into 3 thematic categories: program design and management, community fit, and integration with the broader environment., Conclusions: Scaling up and sustaining CHW programs in LMICs requires effective program design and management, including adequate training, supervision, motivation, and funding; acceptability of the program to the communities served; and securing support for the program from political leaders and other health care providers.

Background: Many family health innovations that have been shown to be both efficacious and cost-effective fail to scale up for widespread use particularly in low-income and middle-income countries (LMIC). Although individual cases of successful scale-up, in which widespread take up occurs, have been described, we lack an integrated and practical model of scale-up that may be applicable to a wide range of public health innovations in LMIC., Objective: To develop an integrated and practical model of scale-up that synthesises experiences of family health programmes in LMICs., Data Sources: We conducted a mixed methods study that included in-depth interviews with 33 key informants and a systematic review of peer-reviewed and grey literature from 11 electronic databases and 20 global health agency web sites., Study Eligibility Criteria, Participants and Interventions: We included key informants and studies that reported on the scale up of several family health innovations including Depo-Provera as an example of a product innovation, exclusive breastfeeding as an example of a health behaviour innovation, community health workers (CHWs) as an example of an organisational innovation and social marketing as an example of a business model innovation. Key informants were drawn from non-governmental, government and international organisations using snowball sampling. An article was excluded if the article: did not meet the study's definition of the innovation; did not address dissemination, diffusion, scale up or sustainability of the innovation; did not address low-income or middle-income countries; was superficial in its discussion and/or did not provide empirical evidence about scale-up of the innovation; was not available online in full text; or was not available in English, French, Spanish or Portuguese, resulting in a final sample of 41 peer-reviewed articles and 30 grey literature sources., Study Appraisal and Synthesis Methods: We used the constant comparative method of qualitative data analysis to extract recurrent themes from the interviews, and we integrated these themes with findings from the literature review to generate the proposed model of scale-up. For the systematic review, screening was conducted independently by two team members to ensure consistent application of the predetermined exclusion criteria. Data extraction from the final sample of peer-reviewed and grey literature was conducted independently by two team members using a pre-established data extraction form to list the enabling factors and barriers to dissemination, diffusion, scale up and sustainability., Results: The resulting model-the AIDED model-includes five non-linear, interrelated components: (1) assess the landscape, (2) innovate to fit user receptivity, (3) develop support, (4) engage user groups and (5) devolve efforts for spreading innovation. Our findings suggest that successful scale-up occurs within a complex adaptive system, characterised by interdependent parts, multiple feedback loops and several potential paths to achieve intended outcomes. Failure to scale up may be attributable to insufficient assessment of user groups in context, lack of fit of the innovation with user receptivity, inability to address resistance from stakeholders and inadequate engagement with user groups., Limitations: The inductive approach used to construct the AIDED model did not allow for simultaneous empirical testing of the model. Furthermore, the literature may have publication bias in which negative studies are under-represented, although we did find examples of unsuccessful scale-up. Last, the AIDED model did not address long-term, sustained use of innovations that are successfully scaled up, which would require longer-term follow-up than is common in the literature., Conclusions and Implications of Key Findings: Flexible strategies of assessment, innovation, development, engagement and devolution are required to enable effective change in the use of family health innovations in LMIC.

Health systems strengthening (HSS) is a priority for global health funders, policy-makers and practitioners. Although many HSS efforts have focused on policy levers such as financing approaches, payment schemes or regulatory reforms, less attention has been directed to targeting the organisations that deliver health services such as hospitals, health centres and clinics. Evidence suggests that the impact of organisation-level interventions varies by context; however, we lack a general framework for integrating organisational context into performance improvement strategies for health service delivery organisations. Drawing on open systems theories from organisational behaviour and management as well as a review of 181 empirical studies of health service delivery organisations in low- and middle-income countries, we propose a taxonomy of seven strategy areas for improving organisational performance as well as a multistage conceptual framework for selecting among them. We propose that the choice of strategy for improving health service delivery organisational performance should be informed by: (i) the root cause of the organisation's performance gap; (ii) the environmental conditions facing the organisation; and (iii) the implementation capability of the organisation. We also highlight conditions under which different strategy areas may be expected to be optimally effective. The approaches presented in this paper offer a way for health system decision-makers and researchers to systematically assess and incorporate organisational context in the process of developing strategies to improve the performance of health service delivery organisations and, ultimately, of health systems.