The Challenge of Additionality: The Impact of Central Grants for Primary Healthcare on State-Level Spending on Primary Healthcare in India

Background: In planning for universal health coverage, many countries have been examining their fiscal decentralization policies with the goal of increasing efficiency and equity via “additionalities.” The concept of “additionality,” when the government of a lower administrative level increases the funding allocated to a particular issue when extra funds are present, is often used in these contexts. Although the definition of “additionality” can be used more broadly, for the purposes of this paper we focus narrowly on the additional allocation of primary healthcare expenditures. This paper explores this idea by examining the impact of central level primary healthcare expenditure, on individual state level contributions to primary healthcare expenditure within 16 Indian states between 2005 and 2013. Methods: In examining 5 main variables, we compared differences between government expenditures, contributions, and revenues for Empowered Action Group (EAG) states, and non-EAG states. EAG states are normally larger states that have weaker public health infrastructure and hence qualify for additional funding. Finally, using a model that captured the quantity of central level primary healthcare expenditure distributions to these states, we measured its impact on each state’s own contributions to primary healthcare spending.Results: Our results show that, at the state level, growth in per capita central level primary healthcare expenditure has increased by 110% from 2005-2013, while state’s own contributions to primary healthcare expenditure per capita increased by 32%. Further analyses show that a 1% change disbursement from the central level leads to a -0.132%, although not significant, change by states in their own expenditure. The effect for wealthier states is -0.151% and significant and for poorer states the effect is smaller at -0.096% and not significant. Conclusion: This analysis suggests that increases in central level primary healthcare expenditure to states have an inverse relationship with primary healthcare expenditures by the state level. Furthermore, this effect is more pronounced in wealthier Indian states. This finding has policy implications on India’s decision to increase block grants to states in place of targeted program expenditures

Cost Effectiveness of Mobile Health for Antenatal Care and Facility Births in Nigeria

Background: The use of mobile technology in the health sector, often referred to as mHealth, is an innovation that is being used in countries to improve health outcomes and increase and improve both the demand and supply of health care services. This study assesses the actual cost-effectiveness of initiating and implementing the use of the mHealth as a supply side job aid for antenatal care. The study also estimates the cost-effectiveness ratio if mHealth was also used to encourage and track women through facility delivery. Methods: The methodology utilized a retrospective, micro-costing technique to extract costing data from health facilities and administrative offices to estimate the costs of implementing the mHealth antenatal care program and estimate the cost of facility delivery for those that used the antenatal care services in the year 2014. Five different costing tools were developed to assist in the costing analysis. Findings: The results show that the provision of tetanus toxoid vaccination and malaria prophylaxis during pregnancy and improved labor and delivery during facility delivery contributed the most to mortality reductions for women, neonates and stillbirths in mHealth facilities versus non-mHealth facilities. The cost-effectiveness ratio of this program for antenatal care and no demand-side generation for facility delivery is US$13,739 per life saved. The cost-effectiveness ratio adding in an additional demand-side generation for facility births reduces to US$9,806 per life saved. Conclusion: These results show that mHealth programs are inexpensive and save a number of lives for the dollar investment and could save additional lives and funds if women were also encouraged to seek facility delivery

A Model for Rigorously Applying the Exploration, Preparation, Implementation, Sustainment (EPIS) Framework in the Design and Measurement of a Large Scale Collaborative Multi-Site Study

Background This paper describes the means by which a United States National Institute on Drug Abuse (NIDA)-funded cooperative, Juvenile Justice-Translational Research on Interventions for Adolescents in the Legal System (JJ-TRIALS), utilized an established implementation science framework in conducting a multi-site, multi-research center implementation intervention initiative. The initiative aimed to bolster the ability of juvenile justice agencies to address unmet client needs related to substance use while enhancing inter-organizational relationships between juvenile justice and local behavioral health partners. Methods The EPIS (Exploration, Preparation, Implementation, Sustainment) framework was selected and utilized as the guiding model from inception through project completion; including the mapping of implementation strategies to EPIS stages, articulation of research questions, and selection, content, and timing of measurement protocols. Among other key developments, the project led to a reconceptualization of its governing implementation science framework into cyclical form as the EPIS Wheel. The EPIS Wheel is more consistent with rapid-cycle testing principles and permits researchers to track both progressive and recursive movement through EPIS. Moreover, because this randomized controlled trial was predicated on a bundled strategy method, JJ-TRIALS was designed to rigorously test progress through the EPIS stages as promoted by facilitation of data-driven decision making principles. The project extended EPIS by (1) elucidating the role and nature of recursive activity in promoting change (yielding the circular EPIS Wheel), (2) by expanding the applicability of the EPIS framework beyond a single evidence-based practice (EBP) to address varying process improvement efforts (representing varying EBPs), and (3) by disentangling outcome measures of progression through EPIS stages from the a priori established study timeline. Discussion The utilization of EPIS in JJ-TRIALS provides a model for practical and applied use of implementation frameworks in real-world settings that span outer service system and inner organizational contexts in improving care for vulnerable populations. Trial registration NCT02672150. Retrospectively registered on 22 January 2016

Guatemala: The economic burden of illness and health system implications

Objectives To assess the economic burden of ill health in Guatemala, the characteristics of Guatemala's health system that potentially explain this burden, and to identify policies to help ameliorate it.Methods Data from the 2000 and 2006 Living Standard Measurement Surveys are used to assess levels of financial burden from ill health, along with information on health system characteristics of Guatemala and recent reform experiences of several middle- and low-income countries.Results Despite some gains over the period from 2000 to 2006, there continues to be both a high level and inequitable distribution of financial burden associated with ill health in Guatemala. Low levels of insurance coverage, a heavy concentration of the uninsured among the less well off and rural populations, as well as their low levels of access to public services are important drivers of out of pocket spending on health. Households with older members also appear to be at increased risk for out of pocket payments.Conclusions High levels of catastrophic health spending and poverty co-exist with significant economic inequality and poverty in Guatemala. With health system features and a large informal sector similar to many other developing countries, recent international experience can provide useful lessons to help Guatemala devise innovative financing and payment mechanisms to address these concerns.Health expenditures Poverty Health systems Guatemala

Cost analysis in implementation studies of evidence-based practices for mental health and substance use disorders: a systematic review.

Background This study is a systematic literature review of cost analyses conducted within implementation studies on behavioral health services. Cost analysis of implementing evidence-based practices (EBP) has become important within implementation science and is critical for bridging the research to practice gap to improve access to quality healthcare services. Costing studies in this area are rare but necessary since cost can be a barrier to implementation and sustainment of EBP. Methods We followed Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) methodology and applied the Consolidated Health Economic Evaluation Reporting Standards (CHEERS) checklist. Key search terms included: (1) economics, (2) implementation, (3) EBP, and (4) behavioral health. Terms were searched within article title and abstracts in: EconLit, SocINDEX, Medline, and PsychINFO. A total of 464 abstracts were screened independently by two authors and reduced to 37 articles using inclusion and exclusion criteria. After a full-text review, 18 articles were included. Results Findings were used to classify costs into direct implementation, direct services, and indirect implementation. While all studies included phases of implementation as part of their design, only five studies examined resources across multiple phases of an implementation framework. Most studies reported direct service costs associated with adopting a new practice, usually summarized as total EBP cost, cost per client, cost per clinician, and/or cost per agency. For studies with detailed analysis, there were eleven direct cost categories represented. For five studies that reported costs per child served, direct implementation costs varied from $886 to$9470 per child, while indirect implementation costs ranged from $897 to$3805 per child. Conclusions This is the first systematic literature review to examine costs of implementing EBP in behavioral healthcare settings. Since 2000, 18 studies were identified that included a cost analysis. Given a wide variation in the study designs and economic methods, comparison across studies was challenging, which is a major limitation in the field, as it becomes difficult to replicate studies or to estimate future costs to inform policy decisions related to budgeting. We recommend future economic implementation studies to consider standard economic costing methods capturing costs across implementation framework phases to support comparisons and replicability

Decentralization and equity of resource allocation: evidence from Colombia and Chile.

OBJECTIVE: To investigate the relation between decentralization and equity of resource allocation in Colombia and Chile. METHODS: The "decision space" approach and analysis of expenditures and utilization rates were used to provide a comparative analysis of decentralization of the health systems of Colombia and Chile. FINDINGS: Evidence from Colombia and Chile suggests that decentralization, under certain conditions and with some specific policy mechanisms, can improve equity of resource allocation. In these countries, equitable levels of per capita financial allocations at the municipal level were achieved through different forms of decentralization--the use of allocation formulae, adequate local funding choices and horizontal equity funds. Findings on equity of utilization of services were less consistent, but they did show that increased levels of funding were associated with increased utilization. This suggests that improved equity of funding over time might reduce inequities of service utilization. CONCLUSION: Decentralization can contribute to, or at least maintain, equitable allocation of health resources among municipalities of different incomes

Decentralization and equity of resource allocation: evidence from Colombia and Chile

OBJECTIVE: To investigate the relation between decentralization and equity of resource allocation in Colombia and Chile. METHODS: The "decision space" approach and analysis of expenditures and utilization rates were used to provide a comparative analysis of decentralization of the health systems of Colombia and Chile. FINDINGS: Evidence from Colombia and Chile suggests that decentralization, under certain conditions and with some specific policy mechanisms, can improve equity of resource allocation. In these countries, equitable levels of per capita financial allocations at the municipal level were achieved through different forms of decentralization - the use of allocation formulae, adequate local funding choices and horizontal equity funds. Findings on equity of utilization of services were less consistent, but they did show that increased levels of funding were associated with increased utilization. This suggests that improved equity of funding over time might reduce inequities of service utilization. CONCLUSION: Decentralization can contribute to, or at least maintain, equitable allocation of health resources among municipalities of different incomes

Impact of weekday and weekend mobility and public policies on COVID-19 incidence and deaths across 76 large municipalities in Colombia: statistical analysis and simulation

Abstract Background Despite widespread restrictions on residents’ mobility to limit the COVID-19 pandemic, controlled impact evaluations on such restrictions are rare. While Colombia imposed a National Lockdown, exceptions and additions created variations across municipalities and over time.  Methods We analyzed how weekend and weekday mobility affected COVID-19 cases and deaths. Using GRANDATA from the United Nations Development Program (UNDP) we examined movement in 76 Colombian municipalities, representing 60% of Colombia's population, from March 2, 2020 through October 31, 2020. We combined the mobility data with Colombia’s National Epidemiological Surveillance System (SIVIGILA) and other databases and simulated impacts on COVID-19 burden.  Results During the study period, Colombians stayed at home more on weekends compared to weekdays. In highly dense municipalities, people moved less than in less dense municipalities. Overall, decreased movement was associated with significant reductions in COVID-19 cases and deaths two weeks later. If mobility had been reduced from the median to the threshold of the best quartile, we estimate that Colombia would have averted 17,145 cases and 1,209 deaths over 34.9 weeks, reductions of 1.63% and 3.91%, respectively. The effects of weekend mobility reductions (with 95% confidence intervals) were 6.40 (1.99–9.97) and 4.94 (1.33–19.72) times those of overall reductions for cases and deaths, respectively. Conclusions We believe this is the first evaluation of day-of-the week mobility on COVID-19. Weekend behavior was likely riskier than weekday behavior due to larger gatherings and less social distancing or protective measures. Reducing or shifting such activities outdoors would reduce COVID-19 cases and deaths

Impact of COVID-19 on healthcare utilization, cases, and deaths of citizens and displaced Venezuelans in Colombia: Complementary comprehensive and safety-net systems under Colombia's constitutional commitment.

ObjectiveColombia hosts 1.8 million displaced Venezuelans, the second highest number of displaced persons globally. Colombia's constitution entitles all residents, including migrants, to life-saving health care, but actual performance data are rare. This study assessed Colombia's COVID-era achievements.MethodsWe compared utilization of comprehensive (primarily consultations) and safety-net (primarily hospitalization) services, COVID-19 case rates, and mortality between Colombian citizens and Venezuelans in Colombia across 60 municipalities (local governments). We employed ratios, log transformations, correlations, and regressions using national databases for population, health services, disease surveillance, and deaths. We analyzed March through November 2020 (during COVID-19) and the corresponding months in 2019 (pre-COVID-19).ResultsCompared to Venezuelans, Colombians used vastly more comprehensive services than Venezuelans (608% more consultations), in part due to their 25-fold higher enrollment rates in contributory insurance. For safety-net services, however, the gap in utilization was smaller and narrowed. From 2019 to 2020, Colombians' hospitalization rate per person declined by 37% compared to Venezuelans' 24%. In 2020, Colombians had only moderately (55%) more hospitalizations per person than Venezuelans. In 2020, rates by municipality between Colombians and Venezuelans were positively correlated for consultations (r = 0.28, p = 0.04) but uncorrelated for hospitalizations (r = 0.10, p = 0.46). From 2019 to 2020, Colombians' age-adjusted mortality rate rose by 26% while Venezuelans' rate fell by 11%, strengthening Venezuelans' mortality advantage to 14.5-fold.ConclusionsThe contrasting patterns between comprehensive and safety net services suggest that the complementary systems behaved independently. Venezuelans' lower 2019 mortality rate likely reflects the healthy migrant effect (selective migration) and Colombia's safety net healthcare system providing Venezuelans with reasonable access to life-saving treatment. However, in 2020, Venezuelans still faced large gaps in utilization of comprehensive services. Colombia's 2021 authorization of 10-year residence to most Venezuelans is encouraging, but additional policy changes are recommended to further integrate Venezuelans into the Colombian health care system

Economic Evaluation Design within the HEAL Prevention Cooperative

The rapid rise in opioid misuse, disorder, and opioid-involved deaths among older adolescents and young adults is an urgent public health problem. Prevention is a vital part of the nation’s response to the opioid crisis, yet preventive interventions for those at risk for opioid misuse and opioid use disorder are scarce. In 2019, the National Institutes of Health (NIH) launched the Preventing Opioid Use Disorder in Older Adolescents and Young Adults cooperative as part of its broader Helping to End Addiction Long-term (HEAL) Initiative ( https://heal.nih.gov/ ). The HEAL Prevention Cooperative (HPC) includes ten research projects funded with the goal of developing effective prevention interventions across various settings (e.g., community, health care, juvenile justice, school) for older adolescent and young adults at risk for opioid misuse and opioid use disorder (OUD). An important component of the HPC is the inclusion of an economic evaluation by nine of these research projects that will provide information on the costs, cost-effectiveness, and sustainability of these interventions. The HPC economic evaluation is integrated into each research project’s overall design with start-up costs and ongoing delivery costs collected prospectively using an activity-based costing approach. The primary objectives of the economic evaluation are to estimate the intervention implementation costs to providers, estimate the cost-effectiveness of each intervention for reducing opioid misuse initiation and escalation among youth, and use simulation modeling to estimate the budget impact of broader implementation of the interventions within the various settings over multiple years. The HPC offers an extraordinary opportunity to generate economic evidence for substance use prevention programming, providing policy makers and providers with critical information on the investments needed to start-up prevention interventions, as well as the cost-effectiveness of these interventions relative to alternatives. These data will help demonstrate the valuable role that prevention can play in combating the opioid crisis