International Partnerships to Develop Evidence-informed Priority Setting Institutions: Ten Years of Experience from the International Decision Support Initiative (iDSI).

All health systems must set priorities. Evidence-informed priority-setting (EIPS) is a specific form of systematic priority-setting which involves explicit consideration of evidence to determine the healthcare interventions to be provided. The international Decision Support Initiative (iDSI) was established in 2013 as a collaborative platform to catalyze faster progress on EIPS, particularly in low- and middle-income countries. This article summarizes the successes, challenges, and lessons learned from ten years of iDSI partnering with countries to develop EIPS institutions and processes. This is a thematic documentary analysis, structured by iDSI's theory of change, extracting successes, challenges, and lessons from three external evaluations and 19 internal reports to funders. We identified three phases of iDSI's work-inception (2013-15), scale-up (2016-2019), and focus on Africa (2019-2023). iDSI has established a global platform for coordinating EIPS, advanced the field, and supported regional networks in Asia and Africa. It has facilitated progress in securing high-level commitment to EIPS, strengthened EIPS institutions, and developed capacity for health technology assessments. This has resulted in improved decisions on service provision, procurement, and clinical care. Major lessons learned include the importance of sustained political will to develop EIPS; a clear EIPS mandate; inclusive governance structures appropriate to health financing context; politically sensitive and country-led support to EIPS, taking advantage of policy windows for EIPS reforms; regional networks for peer support and long-term sustainability; utilization of context appropriate methods such as adaptive HTA; and crucially, donor-funded global health initiatives supporting and integrating with national EIPS systems, not undermining them.

Organizational Formation for Priority Setting: Historical Perspectives and Thematic Analysis of India's Health Technology Assessment Agency.

Countries pursuing universal health coverage must set priorities to determine which benefits to add to a national health program, but the roles that organizations play are less understood. This article investigates the case of the formation of an organization with a mandate for choice of technology for public health interventions and priorities, the Health Technology Assessment India. First, we narrate a chronology of agenda setting and adoption of national policy for organizational formation drawing on historical documentation, publicly available literature, and lived experiences from coauthors. Next, we conduct a thematic analysis that examines windows of opportunity, enabling factors, barriers and conditions, roles of stakeholders, messaging and framing, and specific administrative and bureaucratic tools that facilitated organization formation. This case study shows that organizational formation relied on the identification of multiple champions with sufficient seniority and political authority across a wide group of organizations, forming a coalition of broad base support, who were keen to advance health technology assessment policy development and organizational placement or formation. The champions in turn could use their roles for policy decisions that used private and public events to raise priority and commitment to the decisions, carefully considered organizational placement and formation, and developed the network of organizations for the generation of technical evidence and capacity building for health technology assessment, strengthened by international networks and organizations with financing, expertise, and policymaker relationships.

Sexual Violence and Substance Use Diagnosed in Emergency Department Discharges in Hawaii, 2005-2014.

BACKGROUND: Substance use (SU) and sexual violence (SV) present unique challenges when contextualizing their relationship due to underreporting of SU and SV. Both are significant public health concerns with a large magnitude and expense to the overall U.S. and to the state of Hawaii, which is identified as a high-intensity drug-trafficking area. Since substance users have a higher risk for sexual violence than the general public, this study aims to analyze the proportion and demographics of emergency department (ED) visit individuals reporting sexual violence with or without substance use disorder and examine how the number of ED visits of individuals diagnosed with SV and SU disorder compare to all individuals. METHODS: Data from the Healthcare Cost and Utilization Project was used to examine the relationship between SV and SU. The database contained 3.5 million observations for 24 Hawaii hospitals from 2005-2014. The data was summarized in descriptive statistics and Chi-square tests were run to assess statistical significance for variables of interest. RESULTS: A greater proportion of individuals reporting sexual violence also reported substance use disorders compared to the general population of individuals. While 8% of all ED visits were related to SU, 17% of ED visits involving SV were also related to SU, demonstrating a statistically significant association between SV and SU. CONCLUSIONS: There is a greater need to further understand the complexity of the relationship between substance use and sexual violence. Sexual violence and substance use disorders share a complex relationship; survivors of sexual abuse may develop a substance use disorder, and those who use drugs and alcohol may be at an increased risk for sexual violence. Results from this study demonstrate visits for individuals reporting sexual violence have a greater proportion of substance use disorder than visits for the general population.

Linking Public Health and Public Safety Data on Co-occurring Disorders Among Adults in Hawaii's Criminal Justice System.

To better understand the behavioral health treatment needs of adults involved in the criminal justice system and to improve the continuum of services provided to this vulnerable population, Hawaii initiated a data linkage project that connects substance use and mental health data from the state Department of Public Safety with behavioral health treatment data from the state Department of Health for the State of Hawaii. Specifically, this linkage project begins to examine behavioral health treatment levels recommended by the criminal justice system and Hawaii State Hospital inpatient psychiatric admissions. We provide a preliminary summary on individuals who were both involved in the criminal justice system and received court-ordered inpatient psychiatric treatment and outline data governance procedures, future directions, and practice recommendations.

Planning and Implementation of COVID-19 Isolation and Quarantine Facilities in Hawaii: A Public Health Case Report.

In response to the second surge of COVID-19 cases in Hawaii in the fall of 2020, the Hawaii State Department of Health Behavioral Health Administration led and contracted a coalition of agencies to plan and implement an isolation and quarantine facility placement service that included food, testing, and transportation assistance for a state capitol and major urban center. The goal of the program was to provide safe isolation and quarantine options for individual residents at risk of not being able to comply with isolation and quarantine mandates. Drawing upon historical lived experiences in planning and implementing the system for isolation and quarantine facilities, this qualitative public health case study report applies the plan-do-study-act (PDSA) improvement model and framework to review and summarize the implementation of this system. This case study also offers lessons for a unique opportunity for collaboration led by a public behavioral health leadership that expands upon traditionally narrow infectious disease control, by developing a continuum of care that not only addresses immediate COVID-19 concerns but also longer-term supports and services including housing, access to mental health services, and other social services. This case study highlights the role of a state agency in building a coalition of agencies, including a public university, to respond to the pandemic. The case study also discusses how continuous learning was executed to improve delivery of care.

Mitigation Planning and Policies Informed by COVID-19 Modeling: A Framework and Case Study of the State of Hawaii.

In the face of great uncertainty and a global crisis from COVID-19, mathematical and epidemiologic COVID-19 models proliferated during the pandemic. Yet, many models were not created with the explicit audience of policymakers, the intention of informing specific scenarios, or explicit communication of assumptions, limitations, and complexities. This study presents a case study of the roles, uses, and approaches to COVID-19 modeling and forecasting in one state jurisdiction in the United States. Based on an account of the historical real-world events through lived experiences, we first examine the specific modeling considerations used to inform policy decisions. Then, we review the real-world policy use cases and key decisions that were informed by modeling during the pandemic including the role of modeling in informing planning for hospital capacity, isolation and quarantine facilities, and broad public communication. Key lessons are examined through the real-world application of modeling, noting the importance of locally tailored models, the role of a scientific and technical advisory group, and the challenges of communicating technical considerations to a public audience.

Living Alone and Homelessness as Predictors of 30-Day Potentially Preventable Hospital Readmission.

INTRODUCTION: The effect of social factors on health care outcomes is widely recognized. Health care systems are encouraged to add social and behavioral measures to electronic health records (EHRs), but limited research demonstrates how to leverage this information. We assessed 2 social factors collected from EHRs - social isolation and homelessness - in predicting 30-day potentially preventable readmissions (PPRs) to hospital. METHODS: EHR data were collected from May 2015 through April 2017 from inpatients at 2 urban hospitals on O'ahu, Hawai'i (N = 21,274). We performed multivariable logistic regression models predicting 30-day PPR by living alone versus living with others and by documented homelessness versus no documented homelessness, controlling for relevant factors, including age group, race/ethnicity, sex, and comorbid conditions. RESULTS: Among the 21,274 index hospitalizations, 16.5% (3,504) were people living alone and 11.2% (2,385) were homeless; 4.2% (899) hospitalizations had a 30-day PPR. In bivariate analysis, living alone did not significantly affect likelihood of a 30-day PPR (16.6% [3,376 hospitalizations] without PPR vs 14.4% [128 hospitalizations] with PPR; P = .09). However, documented homelessness did show a significant effect on the likelihood of 30-day PPR in the bivariate analysis (11.1% [2,259 hospitalizations] without PPR vs 14.1% [126 hospitalizations] with PPR; P = .006). In multivariable models, neither living alone nor homelessness was significantly associated with PPR. Factors that were significantly associated with PPR were comorbid conditions, discharge disposition, and use of an assistive device. CONCLUSION: Homelessness predicted PPR in descriptive analyses. Neither living alone nor homelessness predicted PPR once other factors were controlled. Instead, indicators of physical frailty (ie, use of an assistive device) and medical complexity (eg, hospitalizations that required assistive care post-discharge, people with a high number of comorbid conditions) were significant. Future research should focus on refining, collecting, and applying social factor data obtained through acute care EHRs.

Multi-criteria decision analysis: of politics, policy entrepreneurs, and processes.

Multi-criteria decision analysis (MCDA) has the potential to increase the consistency, transparency and rigour with which these criteria inform decisions. Political context is relevant not only as a motivation for turning to MCDA but also the context in which MCDA can be successfully implemented. A policy entrepreneur can spearhead the creation of a process to carry out MCDA and can help to create and build the capacity of a public institution that observes and convenes this process, an institution that has legal authority to carry out such a function.

Priority setting in health: development and application of a multi-criteria algorithm for the population of New Zealand's Waikato region.

BACKGROUND: Priority setting in a climate of diverse needs and limited resources is one of the most significant challenges faced by health care policymakers. This paper develops and applies a comprehensive multi-criteria algorithm to help determine the relative importance of health conditions that affect a defined population. METHODS: Our algorithm is implemented in the context of the Waikato District Health Board (WDHB) in New Zealand, which serves approximately 10% of the New Zealand population. Strategic priorities of the WDHB are operationalized into five criteria along which the algorithm is structured-scale of disease, household financial impact of disease, health equity, cost-effectiveness, and multimorbidity burden. Using national-level data and published literature from New Zealand, the World Health Organization, and other high-income Commonwealth countries, 25 health conditions in Waikato are identified and mapped to these five criteria. These disease-criteria mappings are weighted with data from an ordered choice survey administered to the general public of the Waikato region. The resulting output of health conditions ranked in order of relative importance is validated against an explicit list of health concerns, provided by the survey respondents. RESULTS: Heart disease and cancerous disorders are assigned highest priority rankings according to both the algorithm and the survey data, suggesting that our model is aligned with the primary health concerns of the general public. All five criteria are weighted near-equal across survey respondents, though the average health equity preference score is 9.2% higher for Maori compared to non-Maori respondents. Older respondents (50 years and above) ranked issues of multimorbidity 4.2% higher than younger respondents. CONCLUSIONS: Health preferences of the general population can be elicited using ordered-choice surveys and can be used to weight data for health conditions across multiple criteria, providing policymakers with a practical tool to inform which health conditions deserve the most attention. Our model connects public health strategic priorities, the health impacts and financial costs of particular health conditions, and the underlying preferences of the general public. We illustrate a practical approach to quantifying the foundational criteria that drive public preferences, for the purpose of relevant, legitimate, and evidence-based priority setting in health.

Should There Be a Disclosure Mandate for Physicians Caring for Perinatally Infected Adolescents Who Don't Know Their HIV Serostatus?

With advances in antiretroviral therapies, perinatally infected children are now living with HIV well beyond adolescence. Parents and health care practitioners thus face the challenge of deciding how best to disclose positive serostatus to children living with HIV. Although many adolescents living with HIV are sexually active, parents often delay disclosure, which presents US physicians with an ethical dilemma because there is no legal requirement to follow clinical guidelines recommending disclosure prior to adolescence. When they become adults, US adolescents could face criminal penalties if they fail to disclose their positive serostatus to needle-sharing or sex partners despite there being no legal mandates to ensure that adolescents are first properly informed of their own diagnoses. We argue that there is an urgent need to bridge this gap between adolescent and adult HIV serostatus disclosure policies.

Comparing Birth Outcomes in Hawai'i between US- and Foreign-Born Women.

The objective of this study is to examine the relationship between maternal nativity status and preterm birth (PTB) or low birth weight (LBW) for Hawai'i resident mothers, to compare these relationships across different maternal race/ethnicity groups, and to identify other potential risk and protective factors related to PTB and LBW. Using the 2004 Natality Birth Data from the National Vital Statistic System of the National Center for Health Statistics, crude and adjusted odds ratios were calculated using logistic regression to determine maternal racial/ethnic-specific nativity effects on PTB and LBW. Other Asian or Pacific Islander foreign-born mothers had higher unadjusted rates of PTB, and Samoan foreign-born mothers had lower rates of LBW after adjusting for the socio-demographic covariates compared to their native-born counterparts. Given the limitation of this study particularly relating to data quality, further research is needed to identify socio-contextual factors that are involved in the relationship between nativity status and PTB/LBW.

Reducing costs at the end of life through provider incentives for hospice care: A retrospective cohort study.

BACKGROUND: Costs of medical care have been found to be highest at the end of life. AIM: To evaluate the effect of provider reimbursement for hospice care on end-of-life costs. DESIGN: The policy expanded access to hospice care for end-stage renal disease patients, a policy previously limited to cancer patients only. This study employed a difference-in-differences analysis using a generalized linear model. The main outcome is inpatient expenditures in the last 30 days of life. SETTING/PARTICIPANTS: A cohort of 151,509 patients with chronic kidney disease or cancer, aged 65 years or older, who died between 2005 and 2012 in the National Health Insurance Research Database, which contains all enrollment and inpatient claims data for Taiwan. RESULTS: Even as end-of-life costs for cancer are declining over time, expanding hospice care benefits to end-stage renal disease patients is associated with an additional reduction of 7.3% in end-of-life costs per decedent, holding constant patient and provider characteristics. On average, end-of-life costs are also high for end-stage renal disease (1.88 times higher than those for cancer). The cost savings were larger among older patients-among those who died at 80 years of age or higher, the cost reduction was 9.8%. CONCLUSION: By expanding hospice care benefits through a provider reimbursement policy, significant costs at the end of life were saved.

The broad socioeconomic benefits of vaccination.

Evaluating vaccination programs according to their broad socioeconomic benefits, beyond their health benefits, will help to address the twin problems of vaccine underutilization and weak incentives for vaccine innovation.

Pandemic risk: how large are the expected losses?

There is an unmet need for greater investment in preparedness against major epidemics and pandemics. The arguments in favour of such investment have been largely based on estimates of the losses in national incomes that might occur as the result of a major epidemic or pandemic. Recently, we extended the estimate to include the valuation of the lives lost as a result of pandemic-related increases in mortality. This produced markedly higher estimates of the full value of loss that might occur as the result of a future pandemic. We parametrized an exceedance probability function for a global influenza pandemic and estimated that the expected number of influenza-pandemic-related deaths is about 720 000 per year. We calculated that the expected annual losses from pandemic risk to be about 500 billion United States dollars - or 0.6% of global income - per year. This estimate falls within - but towards the lower end of - the Intergovernmental Panel on Climate Change's estimates of the value of the losses from global warming, which range from 0.2% to 2% of global income. The estimated percentage of annual national income represented by the expected value of losses varied by country income grouping: from a little over 0.3% in high-income countries to 1.6% in lower-middle-income countries. Most of the losses from influenza pandemics come from rare, severe events.

Il est nécessaire d'investir davantage dans la préparation contre les grandes épidémies et les pandémies. Les arguments en faveur de cet investissement s'appuient en grande partie sur les estimations des pertes au niveau du revenu national que pourrait entraîner une grande épidémie ou une pandémie. Récemment, nous avons élargi ces estimations pour y inclure la valeur des pertes faisant suite à des hausses de mortalité dues à des pandémies. Cela a donné des estimations nettement plus élevées de la valeur totale de la perte que pourrait occasionner une future pandémie. Nous avons paramétré une fonction de probabilité de dépassement pour une pandémie mondiale de grippe et avons estimé que le nombre escompté de décès dus à cette pandémie de grippe était d'environ 720 000 par an. Nous avons calculé que les pertes annuelles découlant du risque de pandémie représentaient environ 500 milliards de dollars des États-Unis, soit 0,6% du revenu mondial par an. Cette estimation rejoint (dans la fourchette inférieure) celles du Groupe d'experts intergouvernemental sur l'évolution du climat quant à la valeur des pertes dues au réchauffement de la planète, qui vont de 0,2% à 2% du revenu mondial. Le pourcentage estimé du revenu national annuel représenté par la valeur escomptée des pertes variait selon la catégorie de revenu des pays: d'un peu plus de 0,3% dans les pays à revenu élevé à 1,6% dans les pays à revenu intermédiaire-tranche inférieure. La plupart des pertes découlant de pandémies de grippe sont dues à des événements rares et graves.

Hay una necesidad no satisfecha de invertir más en la preparación para grandes epidemias y pandemias. Los argumentos a favor de dicha inversión se basan, en gran parte, en las estimaciones de las pérdidas en los ingresos nacionales que podrían darse como resultado de una gran epidemia o pandemia. Recientemente, ampliamos el cálculo para incluir la valoración de las vidas perdidas como resultado del aumento de la mortalidad relacionado con la pandemia. Esto dio como resultado unas estimaciones notablemente más altas del valor de la pérdida que podría resultar de una futura pandemia. Hemos parametrizado una función de probabilidad de excedencia para una pandemia de gripe mundial y estimado que el número esperado de muertes causadas por una pandemia de gripe es de aproximadamente 720 000 por año. Calculamos que las pérdidas anuales esperadas del riesgo de pandemia son de unos 500 000 millones de dólares estadounidenses, o el 0,6 % de los ingresos mundiales, por año. Esta estimación se encuentra dentro, pero cerca del mínimo, de las estimaciones del Panel Intergubernamental del Cambio Climático sobre el valor de las pérdidas por el calentamiento global, que oscilan entre el 0,2 % y el 2 % de los ingresos globales. El porcentaje estimado de los ingresos nacionales anuales representado por el valor esperado de las pérdidas varió según la agrupación de ingresos del país: de poco más del 0,3 % en los países con ingresos altos al 1,6 % en los países con ingresos medios o bajos. La mayoría de las pérdidas por pandemias de gripe provienen de casos raros y severos.

Economic evaluation of dental sealants: A systematic literature review.

OBJECTIVES: To systematically review the literature on economic evaluations of dental sealants and examine the costs and effectiveness of caries prevention using sealants. METHODS: Of 21 full-text articles examined, a total of 13 were included in this study. These studies are grouped by the type of intervention as follows: (i) sealants compared with no sealants; (ii) sealants compared with other forms of caries prevention; (iii) resin-based sealants compared with glass-ionomer sealants; (iv) different sealing strategies in primary teeth; (v) different sealing strategies in permanent teeth; and (vi) sealants based on school- or clinic-based setting of delivery. All currency is reported in constant 2010 US$. RESULTS: Cost-effectiveness analyses differed due to varying study designs, assumptions, sealant delivery settings, outcomes, caries risk assessment and study durations. Findings varied on the cost-effectiveness of sealants compared with other caries-preventive strategies. Under the assumption of equal caries risk, always sealing primary molars appeared to be the most effective strategy, whereas risk-based sealing was the optimal strategy with differing caries risk. Studies that assessed sealing strategies in permanent teeth reported that risk-based sealing was more cost-effective than not sealing, but they differed on the cost-effectiveness of risk-based seal compared with non-risk-based seal. Sealants delivered in school settings had mixed results on costs but were as equally effective as sealants delivered in private practices. CONCLUSIONS: The cost-effectiveness of sealants is dependent on the conditions of delivery. The list of cost-effectiveness ratios for each intervention can support policy makers to estimate expected returns on their investments in dental sealants.

Fiscal transfers based on inputs or outcomes? Lessons from the Twelfth and Thirteenth Finance Commission in India.

BACKGROUND: There is limited empirical evidence about the efficacy of fiscal transfers for a specific purpose, including for health which represents an important source of funds for the delivery of public services especially in large populous countries such as India. OBJECTIVE: To examine two distinct methodologies for allocating specific-purpose centre-to-state transfers, one using an input-based formula focused on equity and the other using an outcome-based formula focused on performance. MATERIALS AND METHODS: We examine the Twelfth Finance Commission (12FC)'s use of Equalization Grants for Health (EGH) as an input-based formula and the Thirteenth Finance Commission (13FC)'s use of Incentive Grants for Health (IGH) as an outcome-based formula. We simulate and replicate the allocation of these two transfer methodologies and examine the consequences of these fiscal transfer mechanisms. RESULTS: The EGH placed conditions for releasing funds, but states varied in their ability to meet those conditions, and hence their allocations varied, eg, Madhya Pradesh received 100% and Odisha 67% of its expected allocation. Due to the design of the IGH formula, IGH allocations were unequally distributed and highly concentrated in 4 states (Manipur, Sikkim, Tamil Nadu, Nagaland), which received over half the national IGH allocation. DISCUSSION: The EGH had limited impact in achieving equalization, whereas the IGH rewards were concentrated in states which were already doing better. Greater transparency and accountability of centre-to-state allocations and specifically their methodologies are needed to ensure that allocation objectives are aligned to performance.