Local Health Planning Research Articles

Narrowing Cardiovascular Disease Health Disparities by Advancing the Role of Pharmacists Through a Multisector Consortium.

Demand for scaling and sustaining clinical services to improve health outcomes while minimizing costs is rising, particularly for patients dealing with major cardiovascular disease and stroke risk factors such as hypertension. Consequently, there is growing national and local interest in engaging pharmacists as part of the solution through the implementation of comprehensive medication management. To capitalize on this momentum, a team from the University of Southern California led the establishment of the California Right Meds Collaborative (CRMC) in 2019. CRMC aims to reduce the burden of uncontrolled chronic disease by advancing the role of pharmacists as team members in the health care system. This case study describes CRMC's structure and approach to developing value-based payment models and advancing the competency of pharmacists through training, continuous quality improvement, and technical assistance. In addition, this case study provides an overview of a CRMC pilot project wherein a local health plan tested a value-based payment model to deliver comprehensive medication management. The pilot underwent many iterative changes throughout its duration but ultimately was considered a success and adopted as part of standard practice. Lessons learned from this effort can help others leverage the availability of pharmacists to assist vulnerable populations in their communities.

Treatment approaches and costs associated with diabetes clinical metrics as measured by Healthcare Effectiveness Data and Information Set (HEDIS)

BackgroundThe clinical outcomes of diabetes can be influenced by primary care providers’ (PCP) treatment approaches. This study explores the association between PCP approaches to management and performance measured by established diabetes metrics and related costs.MethodsIn phase one, Electronic Medical Records were used to extract diabetes related metrics using Healthcare Effectiveness Data and Information Set (HEDIS), for patients with diabetes who had office visits to 44 PCP practices from April 2019 to March 2020. Using those metrics and scoring system, PCP practices were ranked and then categorized into high- and low-performing groups (top and bottom 25%, n = 11 each), with a total of 19,059 clinic visits by patients with a diagnosis of diabetes. Then extensive analysis was performed to evaluate a correlation between treatment approaches and diabetes outcomes across the top and bottom performing practices. In phase 2, patients with diabetes who were attributed to the aforementioned PCP practices were identified in a local health plan claims data base (a total of 3,221 patients), and the allowed amounts from their claims were used to evaluate differences in total and diabetes-related healthcare costs by providers’ performance.ResultsComparing 10,834 visits in high-performing practices to 8,235 visits in low-performing practices, referrals to certified diabetes care and education specialists and provider-to-provider electronic consults (e-consults) were higher in high-performing practices (Z = 6.06, p < .0001), while traditional referrals were higher in low-performing practices (Z = -6.94, p < .0001). The patient-to-provider ratio was higher in the low-performing group (M = 235.23) than in the high-performing group (M = 153.26) (Z = -2.82, p = .0048). Claims data analysis included 1,825 and 1,396 patients from high- and low-performing providers, respectively. The patient-to-provider ratio was again higher in the low-performing group (p = .009, V = 0.62). Patients receiving care from lower-performing practices were more likely to have had a diabetes-related hospital observation (5.7% vs. 3.9%, p = .02; V = 0.04) and higher diabetes-related care costs (p = .002; d = − 0.07); these differences by performance status persisted when controlling for differences in patient and physician characteristics. Patients seeing low-performing providers had higher Charlson Comorbidity Index scores (Mdn = 3) than those seeing high-performing providers (Mdn = 2).ConclusionsReferrals to the CDCES and e-Consult were associated with better measured diabetes outcomes, as were certain aspects of cost and types of hospital utilization. Higher patients to providers ratio and patients with more comorbidities were observed in low performing group.

‘DANMM that’s good!’: evaluating the feasibility and acceptability of the Deadly Aboriginal and Torres Strait Islander Nursing and Midwifery Mentoring (DANMM) Programme across rural, regional and metropolitan NSW–a collaborative study protocol

IntroductionThis paper will describe the research protocol for the Deadly Aboriginal and Torres Strait Islander Nursing and Midwifery Mentoring (DANMM) Project, which will determine the feasibility and acceptability of a...

Predictors of neonatal near-misses in Worabe Comprehensive Specialized Hospital, Southern Ethiopia.

Neonatal deaths are still a major leading cause of social and economic crises. Identifying neonatal near-miss events and identifying their predictors is crucial to developing comprehensive and pertinent strategies to alleviate neonatal morbidity and death. However, neither neonatal near-miss events nor their predictors were analyzed in the study area. Therefore, this study is aimed at assessing the predictors of neonatal near-misses among neonates born at Worabe Comprehensive Specialized Hospital, Southern Ethiopia, in 2021. A hospital-based unmatched case-control study was conducted from 10 November 2021 to 30 November 2021. A pre-tested, structured, and standard abstraction checklist was used to collect the data. After checking the data for completeness and consistency, it was coded and entered into Epi-Data 3.1 and then exported to Stata version 14 for analysis. All independent variables with a p-value ≤0.25 in bivariable binary logistic regression were entered into a multivariable analysis to control the confounding. Variables with p-values <0.05 were considered statistically significant. In this study, 134 neonatal near-miss cases and 268 controls were involved. The identified predictors of neonatal near-misses were rural residence [adjusted odds ratio (AOR): 2.01; 95% confidence interval (CI): 1.31-5.84], no antenatal care (ANC) follow-up visits (AOR: 2.98; 95% CI: 1.77-5.56), antepartum hemorrhage (AOR: 2.12; 95% CI: 1.18-4.07), premature rupture of the membrane (AOR: 2.55; 95% CI: 1.54-5.67), and non-vertex fetal presentation (AOR: 3.05; 95% CI: 1.93-5.42). The current study identified rural residents, no ANC visits, antepartum hemorrhage, premature rupture of membrane, and non-vertex fetal presentation as being significantly associated with neonatal near-miss cases. As a result, local health planners and healthcare practitioners must collaborate in enhancing maternal healthcare services, focusing specifically on the early identification of issues and appropriate treatment.

Addressing underreported occupational noise-induced hearing loss: the experience of an educational workshop on local occupational health planning and program

Resumo Introdução: a subnotificação da Perda Auditiva Induzida por Ruído (Pair) relacionada ao trabalho é um problema que contribui para a invisibilidade e falta de prioridade deste agravo nos programas de Saúde do Trabalhador (ST). Logo, ações de educação permanente voltadas ao planejamento estratégico-situacional podem contribuir para o enfrentamento desta realidade. Objetivo: apresentar e discutir a experiência de uma intervenção educativa com técnicos da ST de uma macrorregião de saúde do estado da Bahia, Brasil, sobre o uso do Planejamento e Programação Local em Saúde (PPLS) como ferramenta para ampliação da notificação da Pair relacionada ao trabalho Métodos: a intervenção consistiu em uma oficina estruturada em cinco etapas, as quais proporcionaram discussão sobre a Pair, conhecimento do PPLS, prática do PPLS, socialização dos resultados e avaliação do evento. Resultados: a prática do PPLS, a partir de um problema real, viabilizou o delineamento de ações concretas de enfrentamento da subnotificação da Pair a serem implementadas nos Centros de Referência em Saúde do Trabalhador (Cerest) e no estado como um todo. Conclusão: a experiência mostrou-se bem-sucedida ao fomentar a tomada de consciência e mobilização dos técnicos para enfrentamento da subnotificação da Pair, ao tempo que propiciou qualificação em PPLS dos participantes.

Building health plan-pharmacist provider partnerships to optimize medication outcomes.

Over the years, the practice of medication management has taken on various terms and definitions. As a result, health plans have developed different approaches to identifying beneficiaries for medication therapy management (MTM), engaging pharmacists to provide MTM, and adopting standards for documentation and quality assurance. This variation leads to inconsistent delivery of MTM and potential quality concerns. Therefore, an environment needs to be created that allows for health plans to discuss and share approaches, challenges, and best practices. To achieve this, the University of Minnesota College of Pharmacy has served as an organizer and facilitator of an ongoing series of Minnesota Health Plan Summits to drive sustainable and mutually beneficial MTM programs and payment models across the state. In less than 2 years, the University of Minnesota College of Pharmacy has hosted and organized 4 Health Plan Summits with the objective of sharing ideas and identifying mutual goals (short- and long-term) across health plans and pharmacy providers of MTM services to optimize medication outcomes for the citizens of Minnesota and beyond. These meetings have led to several productive discussions and takeaways, including: (1) having a convener is essential for these types of connections and discussions, (2) health plans and pharmacists find value in these summits, (3) there is a range of experience in MTM program development across health plans, and (4) there are important opportunities to enhance understanding between health plans and pharmacist providers. In addition, 3 workgroups have been established in the following areas: (1) improve consistency in the design of MTM benefits across health plans for service and delivery, including provider credentialing, (2) increase transparency and education between plans and providers on the "fixed points" (such as CMS requirements) vs modifiable portions of plan design, and (3) create agreement on a single quality metric to target, collect data, and demonstrate value of MTM. For change to occur, it often must start locally, suggesting that the formal, facilitated convening of local health plan leaders and pharmacist providers to discuss building consistent and high-quality MTM programs is an essential strategy for MTM program adoption and growth. Including both groups of stakeholders should not only focus on payment, but also the mechanisms necessary to support implementation and create a win-win for both groups. In sharing our experience in Minnesota, we aim to inspire others to form regional initiatives that create structured, facilitated conversations that can produce new partnerships. Strategies that have supported our success are described and can be adopted once a regional entity, such as a school of pharmacy or other trusted entity, chooses to convene a group of invested stakeholders.

Overcoming the challenges facing Nepal’s health system during federalisation: an analysis of health system building blocks

IntroductionNepal’s move to a federal system was a major constitutional and political change, with significant devolution of power and resources from the central government to seven newly created provinces and 753 local governments. Nepal’s health system is in the process of adapting to federalism, which is a challenging, yet potentially rewarding, task. This research is a part of broader study that aims to explore the opportunities and challenges facing Nepal’s health system as it adapts to federalisation.MethodsThis exploratory qualitative study was conducted across the three tiers of government (federal, provincial, and local) in Nepal. We employed two methods: key informant interviews and participatory policy analysis workshops, to offer an in-depth understanding of stakeholders’ practical learnings, experiences, and opinions. Participants included policymakers, health service providers, local elected members, and other local stakeholders. All interviews were audio-recorded, transcribed, translated into English, and analysed thematically using the six WHO (World Health Organization) health system building blocks as a theoretical framework.ResultsParticipants noted both opportunities and challenges around each building block. Identified opportunities were: (a) tailored local health policies and plans, (b) improved health governance at the municipality level, (c) improved health infrastructure and service capacity, (d) improved outreach services, (e) increased resources (health budgets, staffing, and supplies), and (f) improved real-time data reporting from health facilities. At the same time, several challenges were identified including: (a) poor coordination between the tiers of government, (b) delayed release of funds, (c) maldistribution of staff, (d) problems over procurement, and (e) limited monitoring and supervision of the quality of service delivery and data reporting.ConclusionOur findings suggest that since federalisation, Nepal’s health system performance is improving, although much remains to be accomplished. For Nepal to succeed in its federalisation process, understanding the challenges and opportunities is vital to improving each level of the health system in terms of (a) leadership andgovernance, (b) service delivery, (c) health financing, (d) health workforce, (e) access to essential medicines and technologies and (f) health information system.

Implementation gaps of the Portuguese Nacional Health Plan 2012-2021: evidence mapping analysis

Abstract Background The National Institute of Health Doutor Ricardo Jorge (INSA) is responsible for carrying out the evaluation of the Portuguese National Health Plan (PNS) 2012-2016, extended to 2020 (and later to 2021). As part of PNS evaluation, this study aims to identify gaps in the implementation of the PNS 2012-2021, and to identify the degree of alignment and coherence between the strategic axis, goals, and monitoring framework issued by the PNS at different levels of implementation (national, regional, local and municipal). Methods A mix study, employing both qualitative and quantitative approaches was performed based upon a modified scoping review. Portuguese healthcare institutional websites and municipality websites were identified as the main data sources and secondary data were gathered. Evidence (plans, programs, or strategies) with publication date between 2015 and 2020 were included. A data collection matrix was validated by a group of experts from major stakeholders from academia and public health services. The matrix included 3 main categories following the PNS intervention logic (5 strategic axis, 4 goals and 37 monitoring indicators). Results A total of 204 documents met the inclusion criteria. Evidence from national level (55%) and local level (35%) represented about 90% of the sample. Overall, three implementation gaps were identified: 1) absence of two Regional Health Plans (in a total of 5 mainland health regions); 2) lack of about 1/3 of the expected Local Health Plans (16 out of 53) and, 3) low transposition (or approximation) of the PNS monitoring framework into the hospital and primary care contract-programs, one of the main management tools for planning. Conclusions The identification and analysis of implementation gaps contribute to the final evaluation of the PNS. Moreover, the results can guide the next planning cycle pointing out sensitive areas of implementation which need more attention from various stakeholders. Key messages • Implementation gaps can compromise the impact of PNS as the strategic tool to set the necessary health interventions and their alignment at national, regional and local level of implementation. • The next planning cycle should tackle the identified implementation gaps with the purpose of strengthen PNS as a strategic planning platform and with the aim of maximize population health gains.

Associations between county-level public health expenditures and community health planning activities with COVID-19 incidence and mortality

The COVID-19 pandemic has revealed consequences of past defunding of the U.S. public health system, but the extent to which public health infrastructure is associated with COVID-19 burden is unknown. We aimed to determine whether previous county-level public health expenditures and community health planning activities are associated with COVID-19 cases and deaths. We examined 3050 of 3143 U.S. counties and county equivalents from March 1, 2020 to February 28, 2022. Multivariable-adjusted linear regression and generalized additive models were used to estimate associations between county-level public health expenditures and completion of community health planning activities by a county health department with outcomes of county-level COVID-19 cases and deaths per 100,000 population.After adjusting for county-level covariates, counties in the highest tertile of public health expenditures per capita had on average 542 fewer COVID-19 cases per 100,000 population (95% CI, −1004 to −81) and 21 fewer deaths per 100,000 population (95% CI, –32 to −10) than counties in the lowest tertile. For analyses of community health planning activities, adjusted estimates of association remained negative for COVID-19 deaths, but confidence intervals included negative and positive values. In conclusion, higher levels of local public health expenditures and community health planning activities were associated with fewer county-level COVID-19 deaths, and to a lesser extent, cases. Future public health funding should be aligned with evidence for the value of county health departments programs and explore further which types of spending are most cost effective.

Where does it hurt? Small area estimates and inequality in the prevalence of chronic pain.

Chronic pain affects up to half of UK adults, impacting quality of life and demand on local health services. Whilst local health planning is currently based on subnational prevalence estimates, associations between pain and sociodemographic characteristics suggest that inequalities in the prevalence of chronic and high-impact chronic pain between neighbourhoods within local authorities are likely. We aimed to derive lower super output area (LSOA) estimates of the prevalence of chronic and high-impact chronic pain. Presence of self-reported chronic and high-impact chronic pain were measured in adults aged 35+ in North Staffordshire and modelled using multilevel regression as a function of demographic and geographic predictors. Multilevel model predictions were post-stratified using the North Staffordshire age-sex population structure and LSOA demographic characteristics to estimate the prevalence of chronic and high-impact chronic pain in 298 LSOAs, corrected for ethnic diversity underrepresented in the data. Confidence intervals were generated for high-impact chronic pain using bootstrapping. Data were analysed from 4162 survey respondents (2358 women, 1804 men). The estimated prevalence of chronic and high-impact chronic pain in North Staffordshire LSOAs ranged from 18.6% to 50.1% and 6.18 [1.71, 16.0]% to 33.09 [13.3, 44.7]%, respectively. Prevalence of chronic and high-impact chronic pain in adults aged 35+ varies substantially between neighbourhoods within local authorities. Further insight into small-area level variation will help target resources to improve the management and prevention of chronic and high-impact chronic pain to reduce the impact on individuals, communities, workplaces, services and the economy. Post-stratified multilevel model predictions can produce small-area estimates of pain prevalence and impact. The evidence of substantial variation indicates a need to collect local-level data on pain and its impact to understand health needs and to guide interventions.

Patterns of mental health care provision in urban areas: A comparative analysis for local policy in the ACT.

Urbanisation presents specific mental health challenges, requiring a better understanding of service availability in urban areas for mental health care planning. Our objective is to analyse patterns of urban mental healthcare provision in Australia, and compare these with relevant national and international regions to inform urban mental healthcare policy and planning. Following a health ecosystems approach, we use a standardised service classification instrument, the Description and Evaluation of Services and DirectoriEs (DESDE), and Mental Health Care Atlases, to compare the availability, bed capacity and diversity of services providing specialised mental health or psychosocial care that are universally accessible (ie provided at no or low cost only in all relevant care sectors in four Australian and three international urban regions. We used a heuristics approach and an homogeneity test. Applicability to local policy was assessed using the Adoption Impact Ladder. Community care was less developed in Australia than internationally, except in the case of residential care in Australian Capital Territory, our reference area. Alternatives to hospitalisation were scarce across all regions. The Atlas was applicable to regional and local mental health planning. Differences in pattern of care between regions has implications for planning, equality of access to care and prioritisation of resources. An ecosystems approach is relevant to service planning in mental healthcare at local level.

Australia's political engagement on health and climate change: the MJA-Lancet Countdown indicator and implications for the future.

Australia's political engagement on health and climate change: the MJA-Lancet Countdown indicator and implications for the future.

Geospatial Modeling of Health, Socioeconomic, Demographic, and Environmental Factors with COVID-19 Incidence Rate in Arkansas, US

The COVID-19 pandemic has posed numerous challenges to human society. Previous studies explored multiple factors in virus transmission. Yet, their impacts on COVID-19 are not universal and vary across geographical regions. In this study, we thoroughly quantified the spatiotemporal associations of 49 health, socioeconomic, demographic, and environmental factors with COVID-19 at the county level in Arkansas, US. To identify the associations, we applied the ordinary least squares (OLS) linear regression, spatial lag model (SLM), spatial error model (SEM), and multiscale geographically weighted regression (MGWR) model. To reveal how such associations change across different COVID-19 times, we conducted the analyses for each season (i.e., spring, summer, fall, and winter) from 2020 to 2021. We demonstrate that there are different driving factors along with different COVID-19 variants, and their magnitudes change spatiotemporally. However, our results identify that adult obesity has a positive association with the COVID-19 incidence rate over entire Arkansas, thus confirming that people with obesity are vulnerable to COVID-19. Humidity consistently negatively affects COVID-19 across all seasons, denoting that increasing humidity could reduce the risk of COVID-19 infection. In addition, diabetes shows roles in the spread of both early COVID-19 variants and Delta, while humidity plays roles in the spread of Delta and Omicron. Our study highlights the complexity of how multifactor affect COVID-19 in different seasons and counties in Arkansas. These findings are useful for informing local health planning (e.g., vaccine rollout, mask regulation, and testing/tracing) for the residents in Arkansas.

Building capacity for the use of systems science to support local government public health planning: a case study of the VicHealth Local Government Partnership in Victoria, Australia

ObjectiveTo present an approach to build capacity for the use of systems science to support local communities in municipal public health and well-being planning.DesignCase study.SettingLocal government authorities participating in the...

Trends in the disparities and equity of the distribution of traditional Chinese medicine health resources in China from 2010 to 2020.

BackgroundAt present, improving the accessibility to traditional Chinese medicine (TCM) health resources is an important component of China’s health policy. This study evaluated the trends in the disparities and equity of TCM health resource allocation from 2010 to 2020 to inform optimal future local health planning and policy.MethodThe data for this study were extracted from the China Health Statistical Yearbook (2011–2021) and China Urban Statistical Yearbook (2020). The equity and rationality of the allocation of TCM health resources at the national and provincial levels were evaluated using the Gini coefficient and the health resource aggregation degree, respectively.ResultThe number of TCM-related institutions, beds, health staff, outpatients and admissions increased by 1.97, 2.61, 2.35, 1.72 and 2.41 times, respectively, between 2010 and 2020. The population-based Gini coefficients for health staff, beds and institutions were 0.12, 0.23 and 0.13, respectively, indicating acceptable equity, while the geographical area-based Gini index for health staff, beds and institutions were 0.65, 0.62 and 0.62, respectively, indicating serious inequity. The agglomeration degree as a function of geographical area was as follows: eastern region > central region > western region. Moreover, the institutional and health staff gaps between the geographical areas increased from 2012 to 2020. In addition, there was a relatively balanced agglomeration degree based on the population in these three regions and an increasingly equitable allocation of institutions and health staff.ConclusionIn recent years, China’s TCM health resources and services have increased rapidly, but their proportions within the overall health system remain low. The equity and rationality of TCM health allocated by the population was better than that by the geographic area. Regional differences and inequalities, especially for institutions, still exist. A series of policies to promote the balanced development of TCM need to be implemented.

Weeneebayko Area Health Authority-ICES-Laurentian University Collaboration: Working together to support communities with Indigenous Health Research in the James and Hudson Bay Region, in Northeast Ontario, Canada.

ObjectiveThe James and Hudson Bay Region, consisting of six remote Indigenous communities, have experienced barriers accessing regional health data. To inform local health planning, the Minomathasowin Healthy Living department in the Weeneebayko Area Health Authority (WAHA), ICES and Laurentian University developed a Collaboration, to co-create enhanced Indigenous data stewardship.&#x0D; ApproachThe Collaboration combines expertise in Indigenous knowledge with quantitative and qualitative analyses to develop relevant data intended for public dissemination. Through a community-driven and strength-based approach, local knowledge guides the direction of the research. Indigenous data governance principles are applied, supporting local data ownership, and supplementing local knowledge on population health issues. This ensures the development of research projects that have meaningful impacts. The Collaboration is part of a larger partnership and is continually engaging local Indigenous stakeholders. Protocols ensure research is done in a manner that respects and reflects community well-being and is undertaken in a good way.&#x0D; ResultsThe Collaboration is an ongoing, living initiative and has enabled WAHA to become a local hub for Indigenous stakeholders to obtain health data for their respective communities. It adheres to the importance of following protocols within Indigenous communities, acknowledging qualitative research activities can be undertaken at the community-level. Projects from this Collaboration identify and prioritize the most pressing health issues impacting the Region including mental health and addictions, COVID-19 surveillance, hospitalization trends, and the prevalence of lupus. The success of the Collaboration is demonstrated through increased requests from the Region to WAHA for support on health planning and decision-making. Data access barriers in the Region are being addressed through the combined expertise of the Collaboration and local knowledge. This approach is enhancing Indigenous data stewardship.&#x0D; ConclusionsThe Collaboration advocates for Indigenous-led and -driven research that recognizes the value of combining local knowledge with quantitative and qualitative data analyses to put communities first. The Collaboration supports equitable data access and the development of relevant research projects. This is leading to sustainable, impactful health planning for the Region.

A nomogram for predicting endometrial cancer risk in asymptomatic women: Addressing disparities in patient populations with limited access and delayed diagnosis (425)

A nomogram for predicting endometrial cancer risk in asymptomatic women: Addressing disparities in patient populations with limited access and delayed diagnosis (425)

The Nutritional Quality of Kids' Menus from Cafés and Restaurants: An Australian Cross-Sectional Study.

Australian families increasingly rely on eating foods from outside the home, which increases intake of energy-dense nutrient-poor foods. ‘Kids’ Menus’ are designed to appeal to families and typically lack healthy options. However, the nutritional quality of Kids’ Menus from cafes and full-service restaurants (as opposed to fast-food outlets) has not been investigated in Australia. The aim of this study was to evaluate the nutritional quality of Kids’ Menus in restaurants and cafés in metropolitan Perth, Western Australia. All 787 cafes and restaurants located within the East Metropolitan Health Service area were contacted and 33% had a separate Kids’ Menu. The validated Kids’ Menu Healthy Score (KIMEHS) was used to assess the nutritional quality of the Kids’ Menus. Almost all Kids’ Menus (99%) were rated ‘unhealthy’ using KIMEHS. The mean KIMEHS score for all restaurants and cafés was −8.5 (range −14.5 to +3.5) which was lower (i.e., more unhealthy) than the mean KIMEHS score for the top 10 most frequented chain fast-food outlets (mean −3.5, range −6.5 to +3). The findings highlight the need for additional supports to make improvements in the nutritional quality of Kids’ Menus. Local Government Public Health Plans provide an opportunity for policy interventions, using locally relevant tools to guide decision making.

Beyond Compliance: A More Integrated Public Health Approach To Outbreaks In Nursing Homes And Other Disasters.

Nursing home residents are vulnerable to disproportionate harm during disasters and health emergencies, as evidenced by the recent impact of COVID-19 and extreme weather events. Evaluation of these disasters shows that the nursing homes in question were often in compliance with relevant regulations around emergency planning. However, advance planning for disasters cannot anticipate every contingency, leading to the need for flexibility and quick adaptation on the part of nursing home leaders. In addition, disasters often involve larger, regional problems and situations that individual providers cannot solve. We suggest that policy makers need to prioritize development and expectations around leadership skills in nursing home management and better integrate the long-term care sector into local, state, and federal public health planning for future pandemics and other disasters.

Advanced Operationalization Framework for Climate-Resilient Urban Public Health Care Services: Composite Indicators-Based Scenario Assessment of Khon Kaen City, Thailand.

Conventional local public health planning and monitoring are insufficiently addressing the conjugated impact of urban development change and climate change in the future. The existing checklist and index often ignore the spatial-network interaction determining urban public health services in forward-looking aspects. This study offers and demonstrates a climate-resilient operationalization framework for urban public health services considering the interaction between urban development change and climate change across scales. A combination of collaborative scenario planning and tailor-made composite indicators were applied based on the IPCC Fifth Assessment Report (AR5)’s climate risk concept to adhere to local realities and diverse sets of scenarios. The framework was contested in a medium-sized city with a universal health care coverage setting, Khon Kaen city, Thailand. The results show that the coupling of collaborative scenario planning and composite indicators allows local public health care to operationalize their potential impact and climate-resilient targets in the future(s) in multiple service operation aspects. The scenarios assessment outcomes prove that although public health devotion can be fail-safe, achieving climate-resilient targets requires sectoral integration with urban development and health determining domains. Further exploration and disputation of the framework with a wider scale and diversified settings are recommended to enhance their robustness and universality.