Health Resource Allocation Decisions Research Articles

What is a cure through gene therapy? An analysis and evaluation of the use of “cure”

The development of gene therapy has always come with the expectation that it will offer a cure for various disorders, of which hemophilia is a paradigm example. However, although the term is used regularly, it is unclear what exactly is meant with “cure”. Therefore, the aim of this paper is to analyse how the concept of cure is used in practice and evaluate which of the interpretations is most suitable in discussions surrounding gene therapy. We analysed how cure is used in four different medical fields where the concept raises discussion. We show that cure can be used in three different ways: cure as normalization of the body, cure as obtaining a normal life, or cure as a change in identity. We argue that since cure is a practical term, its interpretation should be context-specific and the various uses can exist simultaneously, as long as their use is suitable to the function the notion of cure plays in each of the settings. We end by highlighting three different settings in the domain of hemophilia gene therapy in which the term cure is used and explore the function(s) it serves in each setting. We conclude that in the clinical application of gene therapy, it could be better to abandon the term cure, whereas more modest and specified definitions of cure are required in the context of health resource allocation decisions and decisions on research funding.

Research-to-policy Partnerships for Evidence-Informed Resource Allocation in Health Systems in Africa: An Example Using the Thanzi Programme

ObjectivesEmpirical data on the impact of research-to-policy interventions are scant, with the few attempts mainly focusing on ensuring policymakers’ timely access to evidence and evidence-informed dialogs. MethodsThis article reflects on how the Thanzi Programme cultivates an approach of research-to-policy engagement in health economics. The program is structured around 3 interrelated pillars comprising research evidence generation, capacity and capability building, and research-and-policy engagement. Each pillar is described and examples from the Thanzi Programme are given, including illustrating how each pillar informs the other. Limitations and challenges of the approach are discussed, with examples of a way forward. ResultsThis program supports health system strengthening through addressing gaps identified by program partners. This includes providing health economics training and research and strengthened partnerships between in-country researchers and health policymakers, as well as between national and international researchers. Platforms bringing together researchers and policymakers to shape the research agenda, disseminate evidence, and foster an evidence-based dialog are institutionalized at country and regional levels. Health Economics and Policy Units have been established, which sit between the Ministries of Health and Universities, to augment policymakers and health economics researchers’ engagements on priority health policy matters and determine researchable policy questions. The establishment of the Health Economics Community of Practice as a substantive expert committee under the East Central and Southern Africa Health Community bolsters the contribution of health economics evidence in policy processes at the regional level. ConclusionsThe Thanzi Programme is an example of how a research-and-policy partnership framework is being used to support evidence-informed health resource allocation decisions in Africa. It uses a combination of high-quality multidisciplinary research, sustained research and policymakers’ engagement and capacity strengthening to use research evidence to guide and support policy makers more effectively.

A Comparative Study on Deep Learning Models for COVID-19 Forecast.

The COVID-19 pandemic has led to a global health crisis with significant morbidity, mortality, and socioeconomic disruptions. Understanding and predicting the dynamics of COVID-19 are crucial for public health interventions, resource allocation, and policy decisions. By developing accurate models, informed public health strategies can be devised, resource allocation can be optimized, and virus transmission can be reduced. Various mathematical and computational models have been developed to estimate transmission dynamics and forecast the pandemic's trajectories. However, the evolving nature of COVID-19 demands innovative approaches to enhance prediction accuracy. The machine learning technique, particularly the deep neural networks (DNNs), offers promising solutions by leveraging diverse data sources to improve prevalence predictions. In this study, three typical DNNs, including the Long Short-Term Memory (LSTM) network, Physics-informed Neural Network (PINN), and Deep Operator Network (DeepONet), are employed to model and forecast COVID-19 spread. The training and testing data used in this work are the global COVID-19 cases in the year of 2021 from the Center for Systems Science and Engineering (CSSE) at Johns Hopkins University. A seven-day moving average as well as the normalization techniques are employed to stabilize the training of deep learning models. We systematically investigate the effect of the number of training data on the predicted accuracy as well as the capability of long-term forecast in each model. Based on the relative L2 errors between the predictions from deep learning models and the reference solutions, the DeepONet, which is capable of learning hidden physics given the training data, outperforms the other two approaches in all test cases, making it a reliable tool for accurate forecasting the dynamics of COVID-19.

Opportunities and Barriers to the Development and Use of Open Source Health Economic Models: A Survey

ObjectivesHealth economic (HE) models are routinely used to support health policy and resource allocation decisions but are often considered “black boxes” that may be prone to error and bias. Open source models (OSMs) have been advocated to increase the transparency, credibility, and reuse of HE models. Previous studies have demonstrated interest in OSMs among the health economics and outcomes research community, but the number of OSMs remains low. MethodsWe conducted an online survey of ISPOR (the leading professional society for health economics and outcomes research) members’ perspectives on the usefulness of OSMs and barriers to their development and implementation. ResultsRespondents (N = 230) included academics (27%), pharmaceutical (or related) industry representatives (23%), health research or consulting representatives (21%), governmental or nonprofit agency representatives (10%), and others (19%). Respondents were generally not familiar with barriers to the development and adoption of OSMs. Most agreed that OSMs would improve transparency (92%), efficiency (76%), and HE model reuse (86%) and promote confidence in using HE models (75%). The use of OSMs by health technology assessment authorities was considered a very important indicator of the usefulness of OSMs by 49% of respondents. Three-quarters of respondents perceived legal concerns and the ability to transfer data as important barriers to the development and use of OSMs. ConclusionsRespondents believe that OSMs could increase the transparency, efficiency, and credibility of HE models, but that several barriers hamper their widespread adoption. Our results suggest that fundamental changes may be needed across the health economics and outcomes research community if OSMs are to become widely adopted.

Estimating the Association Between Public Health Spending and Sexually Transmitted Disease Rates in the United States: A Systematic Review.

Public health spending is important for managing increases in sexually transmitted diseases (STDs) in the United States. Although previous studies suggest that a beneficial link exists between public health spending and changes in STD rates, there have been no systematic reviews synthesizing existing evidence regarding the association for STDs at the population level. The objective of this study was to synthesize evidence from studies that assessed the associations between general and STD-specific public health spending and STD rates. We conducted a systematic review using Ovid-Medline, EMBASE, CINAHL, Cochrane Library, Web of Science, and EconLit for relevant studies that examined the association between public health spending and gonorrhea, syphilis, chlamydia, and chancroid rates following the Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines. A total of 5 articles (2 regarding general public health spending and 3 regarding STD-specific public health spending) met our inclusion criteria. There was a significant decrease in gonorrhea, syphilis, chlamydia, and chancroid rates associated with increased public health spending. We also found that STD-specific public health spending has a greater effect on STD rates compared with general public health spending. Our review provides evidence that increases in general and STD-specific public health spending are associated with a reduction of STD rates. Such research regarding estimates of the impact of STD prevention spending can help policy makers identify priority funding areas and inform health resource allocation decisions.

An assessment of perceived prioritisation and resource allocation for health policy and systems research in West Africa.

Globally, adequate funding is a strong underpinning to advance health policy and systems research (HPSR) and ensure its impact on strengthening health systems. This study examined the perceived prioritisation, and resource allocation for HPSR in West Africa. A desk review was conducted of literature related to HPSR funding published between January 2010 and December 2019, sourced from various databases and government websites. This was followed by in-depth interviews with senior decision makers and HPSR and non-HPSR research leaders (n = 33) across nine West African countries: Benin, Burkina Faso, Côte d'Ivoire, Gambia, Ghana, Liberia, Nigeria, Senegal and Sierra Leone. The majority of the study participants were from ministries of health in their countries (66.7%). All countries except Sierra Leone had a program dedicated to health policy research and/or health planning/program research. There was no specific funding for health research nor HPSR in most countries and a mixed model (demand and supply led) was employed in most instances. HPSR was only considered a priority in two of the nine countries and specific funding for it was non-existent in all nine countries. In all countries, donor agencies played predominant roles in setting health research priorities and resource allocation decisions. Infectious disease and maternal/child health research were the research categories with the highest level of funding. There was limited capacity for HPSR, with a pronounced gap between researchers and policy makers. Stakeholder advocacy, basket funding for health research, multi-stakeholder institutional and individual HPSR capacity building were the major recommendations for improving the status and funding of HPSR. This study showed that both health research and HPSR were considered low priorities, with no designated funding (budget line) and inadequacy of funding disbursement in the surveyed countries in West Africa. Health research was largely conducted as prioritised and funded by the donor agencies. Given donor fatigue and the transitioning of donor funding, and the pivotal role of HPSR in strengthening health systems, there is an urgent need for West African states to commit to prioritising and funding HPSR and HPSR capacity development.

Eliciting a monetary threshold for a year of sufficient capability to inform resource allocation decisions in public health and social care

AimTo elicit a deliberative monetary value for a year of sufficient capability well-being (YSC) and a year of full capability (YFC), to inform decision-making in the contexts of social care and public health. Methods69 members of the public, recruited from purposively selected electoral wards across the West Midlands Region of England, attended one of six deliberative workshops in 2017. Participants were informed about the nature of public health and social care, and the funding of these services by local authorities. Participants were then asked to report: their willingness to pay additional tax (ring-fenced for social care/public health services); and the maximum amount they would be willing to allocate for social care/public health services from an existing local authority budget. In both cases they were asked to assume that the funding would result in improved well-being equivalent to a YSC. The second task was repeated for improved well-being equivalent to a YFC. Representatives from the six initial workshops reconvened at a consensus workshop to arrive at a final arbitrated value for a YSC and YFC. ResultsMean values elicited during the initial workshops increased after discussion (from £442 to £451 in the case of WTP additional tax). Almost half of participants changed their response post-discussion when reporting a societal (aggregated) WTP. The arbitrated value of a YSC was £33,500, with a range of £33,500 to £36,150 emerging as the value of a YFC. DiscussionThis is the first study to use a deliberative approach to elicit a monetary threshold for an additional YSC/YFC. Qualitative research supports the validity of responses to the taxation question. Deliberation appears to have influenced the societal (aggregated) values reported by participants. ConclusionFuture research should explore the robustness of a monetary threshold of £33,500 for a YSC.

Translating evidence into practice: a longitudinal qualitative exploration of allied health decision-making

BackgroundHealth policy and management decisions rarely reflect research evidence. As part of a broader randomized controlled study exploring implementation science strategies we examined how allied health managers respond to two distinct recommendations and the evidence that supports them.MethodsA qualitative study nested in a larger randomized controlled trial. Allied health managers across Australia and New Zealand who were responsible for weekend allied health resource allocation decisions towards the provision of inpatient service to acute general medical and surgical wards, and subacute rehabilitation wards were eligible for inclusion. Consenting participants were randomized to (1) control group or (2) implementation group 1, which received an evidence-based policy recommendation document guiding weekend allied health resource allocation decisions, or (3) implementation group 2, which received the same policy recommendation document guiding weekend allied health resource allocation decisions with support from a knowledge broker. As part of the trial, serial focus groups were conducted with a sample of over 80 allied health managers recruited to implementation group 2 only. A total 17 health services participated in serial focus groups according to their allocated randomization wave, over a 12-month study period. The primary outcome was participant perceptions and data were analysed using an inductive thematic approach with constant comparison. Thematic saturation was achieved.ResultsFive key themes emerged: (1) Local data is more influential than external evidence; (2) How good is the evidence and does it apply to us? (3) It is difficult to change things; (4) Historically that is how we have done things; and (5) What if we get complaints?ConclusionsThis study explored implementation of strategies to bridge gaps in evidence-informed decision-making. Results provide insight into barriers, which prevent the implementation of evidence-based practice from fully and successfully occurring, such as attitudes towards evidence, limited skills in critical appraisal, and lack of authority to promote change. In addition, strategies are needed to manage the risk of confirmation biases in decision-making processes.Trial registration This trial is registered with the Australian New Zealand Clinical Trials Registry (ANZCTR) (ACTRN12618000029291). Universal Trial Number (UTN): U1111-1205-2621.

From impact evaluation to decision-analysis: assessing the extent and quality of evidence on ‘value for money’ in health impact evaluations in low- and middle-income countries

Background: Health impact evaluations (HIEs) are currently the main way of assessing policy changes in low-and middle-income countries (LMICs). However, evidence on effectiveness alone cannot reliably inform decisions over the allocation of limited resources. Health economic evaluation provides a suitable framework for ‘value for money’ assessments. Methods: In this article we explore to what extent economic evaluations have been conducted alongside published health impact evaluations, then we assess the quality of these, using criteria from an economic evaluation reference case developed for use in LMICs. Results: Among the 2419 HIEs stored in the International Initiative for Impact Evaluations (3ie) database, and among the 8155 studies identified by the Ovid Medline database search, only 70 studies included an economic evaluation. When measured against the quality assessment criteria, study quality showed great variation. Many studies did not fulfil the basic requirements for economic evaluation, such as stating the perspective of the budget holder, using generic health measures that can be compared across diseases, or suitably reflecting uncertainty. Conclusions: Greater effort should be directed towards bringing the fields of impact evaluation and economic evaluation together to better inform resource allocation decisions in global health.

Application of A Framework to Guide Policy on Healthcare Resource Allocation Decisions to Data Linkage Projects

IntroductionData linkage of population data sets often across jurisdictions or linking health data sets or health data with non-health data often involves balancing ethical principles such as privacy with beneficence as represented by the public good. Similar ethical dilemmas occur in health resource allocation decisions. The NHMRC have published a framework to guide policy on health resource allocation decisions that could be applied to ensure the justification of data linkage projects that is defensible as in the interest of the public good.
 Objectives and ApproachThe four main conditions for legitimacy of policy decisions about access to healthcare in a democracy with a public health system and limited resources wereexamined for their relevance to decisions about the use of public data and linking data sets.
 ResultsPublic policy decisions must be defensible and responsive to the interests of those affected. Decision-makers should articulate their reasoning and recommendations so that citizens can judge them. While the context of policy decisions will differ, their legitimacy depends upon (1) the transparency of the reasoning which should be free from conflicts of interest, the basis for decisions recorded and report widely, (2) the accountability of the decision-makers to the wider community, (3) the testability of the evidence used to inform the decision-making, which usually means that it will stand up to independent review and(4) the inclusive recognition of those the decision affects which often requires that the implications for disadvantaged groups are considered, even if they can’t always be accommodated. These conditions are interrelated but ensure that the good of society in general and not just specific dominant groups are accommodated.
 Conclusion / ImplicationsIt these principles are applied to decisions about data linkage projects they have clear applicability in society accepting data linkage projects having balanced the good against the ethical risks involved.

Notes From the Field: Creating a Typology of Childhood Obesity Intervention Strategies.

Classification systems can be useful for evaluating and communicating the impact of interventions. We describe how a typology was created to inform the development of a community intervention dose index (CIDI) intended to measure the strength of impacts attributed to multiple childhood obesity intervention strategies implemented in a large, diverse urban jurisdiction in the United States during 2000-2016. The categorization system was constructed via a three-stage process: (Stage 1) identify relevant constructs for categorizing intervention strategies; (Stage 2) review peer-reviewed literature and program requests for proposals to identify and integrate common attributes of intervention strategies based on Stage 1 constructs; and (Stage 3) vet the results from prior stages to develop a final version of the typology, slated for research application and for use in program improvement. The final system grouped strategies into four macrolevel and five microlevel categories. Macrolevel strategies included government/public institutional policies, infrastructure investments, and business practices. Microlevel strategies included group education, counseling, health communication and social marketing, home visitation, and screening and referral. Grouping intervention strategies in a purposeful, classified manner facilitated communications among researchers and practitioners during the gathering and quantifying of intervention data for the CIDI project and may be used to guide scarce public health resource allocation decisions.

Combined estimation of disease progression and retention on antiretroviral therapy among treated individuals with HIV in the USA: a modelling study

Accurately estimating HIV disease progression and retention on antiretroviral therapy (ART) can help inform interventions to control HIV microepidemics and mathematical models used to inform health-resource allocation decisions. Our objective was to estimate the monthly probabilities of on-ART CD4 T-cell count progression, mortality, ART dropout, and ART reinitiation using a continuous-time multistate Markov model. We also aimed to validate health-state transition probability estimates to ensure they accurately reproduced the regional HIV microepidemics across the USA. In our modelling study, we considered a cohort of patients from the HIV Research Network, a consortium of 17 adult and paediatric HIV-care providers located in the northeastern (n=8), southern (n=5), and western (n=4) regions of the USA. Individuals aged 15 years or older who were in HIV care (defined as one CD4 test and one HIV-care visit in a calendar year period) with at least one ART prescription between Jan 1, 2010, and Dec 31, 2015, were included in the analysis. We used continuous-time multistate Markov models to estimate transitions between CD4 strata and between on-ART and off-ART states. We examined and adjusted for differences in probability of transition by region, race or ethnicity, sex, HIV risk group, and other baseline clinical indicators. The median age of the 32 242 individuals included in the analysis was 44 years (interquartile range 35-51). Over a median follow-up of 4·9 years (2·6-6·0), 8614 (26·7%) of 32 242 people interrupted ART and 1325 (4·1%) of 32 242 people died. Women, men who have sex with men, and individuals with no previous ART experience had greater increases in CD4 cell counts, whereas black people and people who inject drugs had increased probabilities of ART dropout and faster disease progression. Regardless of CD4 strata, individuals had increased hazard for ART dropout if they were from the south (adjusted hazard ratio [aHR] range from 1·91, 95% CI 1·71-2·13, to 2·45, 2·29-2·62) or the west (aHR range from 1·29, 1·10-1·51, to 1·66, 1·51-1·82) of the USA, compared with individuals from the northeast USA. Our results show heterogeneities in disease progression during ART and probability of ART retention across race and ethnicity, HIV risk groups, and regions. These differences should be viewed as targets for intervention and should be incorporated in mathematical models of regional HIV microepidemics in the USA. US National Institutes of Health, Agency for Healthcare Research and Quality, and Health Resources and Services Administration.

A Scoring Index of Prioritization Factors Between Patients: An Iberian Comparison.

This study intends to develop a Prioritization Scoring Index of Iberian Peninsula comprising Portuguese and Spanish citizens, to weigh the importance assigned to rationing criteria used to prioritize patients. Data were collected through an online survey from 2 samples of 355 Portuguese and 564 Spanish members of the general public. Respondents faced 12 hypothetical rationing scenarios and should reveal their level of agreement with each one according to a Likert scale. The statements comprise 3 allocative considerations: egalitarianism, efficiency, and equity. Findings suggest that Portuguese and Spanish respondents gave greater importance to the treatments outcomes, to the severity of the illness, and to younger patients. Furthermore, Iberian respondents assigned 57% of the weighting to equity considerations, 40% to efficiency considerations, and approximately only 3% to egalitarianism. Spaniards weighted more than Portuguese both equity and efficiency considerations while weighted less the egalitarian principle. Iberian Peninsula respondents require resource allocation decisions in health to be informed by considerations of equity as well as efficiency. As the first was most valued, it seems plausible that Portuguese and Spanish respondents are willing to sacrifice some efficiency to achieve a more equitable distribution of health.

Evaluation of intensified dengue control measures with interrupted time series analysis in the Panadura Medical Officer of Health division in Sri Lanka: a case study and cost-effectiveness analysis

Dengue has become a major public health problem in Sri Lanka with a considerable economic burden. As a response, in June, 2014, the Ministry of Health initiated a proactive vector control programme in partnership with military and police forces, known as the Civil-Military Cooperation (CIMIC) programme, that was targeted at high-risk Medical Officer of Health (MOH) divisions in the country. Evaluating the effectiveness and cost-effectiveness of population-level interventions is essential to guide public health planning and resource allocation decisions, particularly in resource-limited health-care settings. Using an interrupted time series design with a non-linear extension, we evaluated the impact of vector control interventions from June 22, 2014, to Dec 29, 2016, in Panadura, a high-risk MOH division in Western Province, Sri Lanka. We used dengue notification and larval survey data to estimate the reduction in Breteau index and dengue incidence before and after the intervention using two separate models, adjusting for time-varying confounding variables (ie, rainfall, temperature, and the Oceanic Niño Index). We also assessed the cost and cost-effectiveness of the CIMIC programme from the perspective of the National Dengue Control Unit under the scenarios of different levels of hospitalisation of dengue cases (low [25%], medium [50%], and high [75%]) in terms of cost per disability-adjusted life-year averted (DALY). Vector control interventions had a significant impact on combined Breteau index (relative risk reduction 0·43, 95% CI 0·26 to 0·70) and on dengue incidence (0·43, 0·28 to 0·67), the latter becoming prominent 2 months after the intervention onset. The mean number of averted dengue cases was estimated at 2192 (95% CI 1741 to 2643), and the total cost of the CIMIC programme at 2016 US$271 615. Personnel costs accounted for about 89% of the total cost. In the base-case scenario of moderate level of hospitalisation, the CIMIC programme was cost-saving with a probability of 70% under both the lowest ($453) and highest ($1686) cost-effectiveness thresholds, resulting in a net saving of $20 247 (95% CI -57 266 to 97 790) and averting 176 DALYs (133 to 226), leading to a cost of -$98 (-497 to 395) per DALY averted. This was also the case for the scenario with high hospitalisation levels (cost per DALY averted -$512, 95% CI -872 to -115) but with a higher probability of 99%. In the scenario with low hospitalisation levels (cost per DALY averted $690, 143 to 1379), although the CIMIC programme was cost-ineffective at the lowest threshold with a probability of 77%, it was cost-effective at the highest threshold with a probability of 99%. This study suggests that communities affected by dengue can benefit from investments in vector control if interventions are implemented rigorously and coordinated well across sectors. By doing so, it is possible to reduce the disease and economic burden of dengue in endemic settings. None.

Willingness to pay for one quality-adjusted life year in Iran

BackgroundRecent years have witnessed a strong tendency to apply economic evidence as a guide for making health resource allocation decisions, especially those related to reimbursement policies. One such measure is the use of the cost-effectiveness threshold as a benchmark. This study explored the threshold for use in the health system of Iran by determining society’s preferences.MethodsA cross-sectional household survey based on the contingent valuation method was administered to a representative general population of 1002 in Tehran, Iran from April to June 2015. The survey was intended to estimate the respondents’ willingness-to-pay (WTP) preferences for one quality-adjusted life year (QALY) gained. The valuation scenarios featured 12 vignettes on mild to severe diseases that can change people’s quality of life. The mean of WTP for QALY was estimated using different health instruments, and the determinants of such willingness were analyzed using the Heckman selection model.ResultsWTP for QALY varied depending on the severity of a disease and the instrument used to determine health preferences. Mean low health state value were associated with high valuation. The best estimated WTP values ranged from US$1032 to US$2666 and 0.22–0.56 of Iran’s local gross domestic product (GDP) per capita in 2014. Except for educational level, significant variables differed across different disease scenarios. Generally, a high health state valuation for target diseases, high income, high educational level, and being married were associated with high WTP for QALY.ConclusionFrom the general public’s perspective, the monetary value of QALY for mild to severe diseases with no risk of death was less than one GDP per capita. Therefore, the obtained valuation range is recommended as reference only for the adoption of interventions designed to improve quality of life. Future studies should estimate the threshold of interventions for life-threatening diseases or formulate transparent policies in such contexts.

Criteria Used for Priority-Setting for Public Health Resource Allocation in Low- and Middle-Income Countries: A Systematic Review.

This systematic review aimed to identify criteria being used for priority setting for resource allocation decisions in low- and middle-income countries (LMICs). Furthermore, the included studies were analyzed from a policy perspective to understand priority setting processes in these countries. Searches were carried out in PubMed, Embase, Econlit, and Cochrane databases, supplemented with pre-identified Web sites and bibliographic searches of relevant papers. Quality appraisal of included studies was undertaken. The review protocol is registered in International Prospective Register of Systematic Reviews PROSPERO CRD42017068371. Of 16,412 records screened by title and abstract, 112 papers were identified for full text screening and 44 studies were included in the final analysis. At an overall level, cost-effectiveness 52 percent (n = 22) and health benefits 45 percent (n = 19) were the most cited criteria used for priority setting for public health resource allocation. Inter-region (LMICs) and between various approaches (like health technology assessment, multi-criteria decision analysis (MCDA), accountability for reasonableness (AFR) variations among criteria were also noted. Our review found that MCDA approach was more frequently used in upper middle-income countries and AFR in lower-income countries for priority setting in health. Policy makers were the most frequently consulted stakeholders in all regions. Priority-setting criteria for health resource allocation decisions in LMICs largely comprised of cost-effectiveness and health benefits criteria at overall level. Other criteria like legal and regulatory framework conducive for implementation, fairness/ethics, and political considerations were infrequently reported and should be considered.

Effectiveness of public health spending on infant mortality in Florida, 2001–2014

Studies investigating the effectiveness of public health spending typically face two major challenges. One is the lack of data on individual program spending, which restricts researchers to rely on aggregate expenditures. The other is the failure to address issues of endogeneity and serial correlation between health outcomes and spending. In this study, we demonstrate that the use of specific spending items as opposed to overall spending, combined with Generalized Method of Moments estimation techniques can do a far better job in revealing the effectiveness of public health services on health outcomes. As an example, we consider the effects of infant-related public health programs on infant mortality rates. Focus on programs expressly related to maternal and infant health was made possible by a unique longitudinal dataset from the Florida Department of Health containing information for all 67 Florida counties spanning 2001 through 2014. Our empirical methodology, by addressing potential endogeneity issues along with serial correlation, allows us to estimate the causal impact of specific public health investments in maternal and infant-related programs on infant mortality. We find that a 10 percent increase in targeted public health spending per infant leads to a 2.07 percent decrease in infant mortality rates. We also find that targeted spending may be more effective in reducing infant mortality among blacks than among whites. The use of targeted spending data along with the Generalized Method of Moments technique can provide stronger evidence to guide future resource allocation and policy decisions in public health.

Implementation of evidence-based weekend service recommendations for allied health managers: a cluster randomised controlled trial protocol

BackgroundIt is widely acknowledged that health policy and practice do not always reflect current research evidence. Whether knowledge transfer from research to practice is more successful when specific implementation approaches are used remains unclear. A model to assist engagement of allied health managers and clinicians with research implementation could involve disseminating evidence-based policy recommendations, along with the use of knowledge brokers. We developed such a model to aid decision-making for the provision of weekend allied health services. This protocol outlines the design and methods for a multi-centre cluster randomised controlled trial to evaluate the success of research implementation strategies to promote evidence-informed weekend allied health resource allocation decisions, especially in hospital managers.MethodsThis multi-centre study will be a three-group parallel cluster randomised controlled trial. Allied health managers from Australian and New Zealand hospitals will be randomised to receive either (1) an evidence-based policy recommendation document to guide weekend allied health resource allocation decisions, (2) the same policy recommendation document with support from a knowledge broker to help implement weekend allied health policy recommendations, or (3) a usual practice control group. The primary outcome will be alignment of weekend allied health service provision with policy recommendations. This will be measured by the number of allied health service events (occasions of service) occurring on weekends as a proportion of total allied health service events for the relevant hospital wards at baseline and 12-month follow-up.DiscussionEvidence-based policy recommendation documents communicate key research findings in an accessible format. This comparatively low-cost research implementation strategy could be combined with using a knowledge broker to work collaboratively with decision-makers to promote knowledge transfer. The results will assist managers to make decisions on resource allocation, based on evidence. More generally, the findings will inform the development of an allied health model for translating research into practice.Trial registrationThis trial is registered with the Australian New Zealand Clinical Trials Registry (ANZCTR) (ACTRN12618000029291). Universal Trial Number (UTN): U1111-1205-2621.

Workforce design in primary care-mental health integration: a case study at one veterans affairs medical center

Many Veterans screen positive for mental health disorders in primary care, yet it appears that only a fraction of those who could benefit receive treatment. One potential way to ensure that a larger proportion of these Veterans receive appropriate care would be to increase access to mental health services through primary care-mental health integration (PC-MHI) clinics. Yet a systematic method to evaluate the impact of projected increases in patient volumes on PC-MHI clinics is lacking. As a first step, we develop and validate a discrete-event simulation model to understand how the clinic could respond to a projected increase in PC-MHI utilization at one Veterans Affairs Medical Center. Numerical results illustrate the impact of increased patient volume and the availability of providers on patient wait times and patients seen by mental health providers outside of clinic hours. We also note that although discrete-event simulation has a long history in health care, it is rarely used in the assessment of the resource allocation decisions in mental health.

Resource utilization in patients with head and neck cancer: Analysis of CCTG HN6 (NCT00820248).

6067 Background: As new treatments for head and neck cancer arise, further information is required regarding resource utilization. The Canadian Cancer Trials Group HN.6 study included collected resource utilization data prospectively on patients with locally advanced squamous cell carcinoma of the head and neck treated with cisplatin or panitumumab plus radiotherapy (RT). Methods: The HN.6 phase III trial enrolled 320 patients across Canada between 2008-2011. The economic analysis was conducted from the societal perspective. Resource utilization was collected prospectively for 3 categories: outpatient, hospitalization and institutionalization (end of life care) at baseline, 8 weeks, every 3 months(mo) for 2 years and every 4 mo until 3 years. Lost productivity questionnaires were collected in the last week of RT. Descriptive statistics were used to summarize the outcomes. Categorical variables were reported by percentage and continuous variables were reported by mean and standard deviation. Results: Of 320 pts randomized, resource utilization and lost productivity data were available for 317 (99%) and 285 (89%) pts, respectively. Eighty nine pts required 130 emergency room visits (mean 1.46±0.85). There were 696 (mean 3.74±3.22) office visits among 186 pts and 367 (mean 3.95±6.43) outpatient visits among 93 pts. Surgeons, radiation oncologists and emergency room physicians were the top three providers of outpatient care with 234 (mean 2.05±1.54), 137 (mean 1.67±1.19) and 118 (mean 1.4±0.78) visits for 114, 82 and 84 pts, respectively. CT scans (286), lab tests (418), x-rays (182) and other tests (400) were conducted in 136, 180, 120 and 194 pts, respectively. Three pts were institutionalized for end of life care (mean 28 days±26.06), and 214 pts were hospitalized (mean 14.5 days±28.8). One hundred and thirteen (41%) pts reported a change in work status at the end of RT. Conclusions: Radical treatment for locally advanced SCCHN is resource intensive. Tracking resources utilized prospectively in clinical trial settings and reporting this information consists of an efficient way to inform health resource allocation decisions. Clinical trial information: NCT00820248.