Health Policy Research Articles

Theoretical frameworks used to inform qualitative mental health research: a focus on positivism, interpretivism and critical realism

SUMMARY Qualitative research methods, defined as the collection and analysis of non-numerical data to understand concepts and experiences, are often used to inform mental health practice and policies. When utilising qualitative research methods, it is important that the researcher uses an explicit theoretical framework to guide the study. A theoretical framework informs how researchers engage with a topic or problem, report on their work with participants, describe key concepts and address assumptions within the research questions and procedures. In this article, we describe the basic concepts underpinning three of the most commonly used frameworks in mental health research: positivism, interpretivism and critical realism. We also describe how these theoretical frameworks may guide the qualitative process, including the theoretical and methodological approaches chosen and the ways in which these theoretical frameworks can be applied in practice. To enhance understanding of these frameworks, we include examples of how such frameworks can be used in qualitative mental health research.

Perspectives of cancer consumer representatives on their involvement in healthcare service improvement: a qualitative study

BackgroundConsumer involvement in healthcare service organisation and policy development is recognised globally as a vital strategy in improving the quality and patient-centredness of care. There are significant gaps in knowledge about consumer involvement in practice, including consumers’ engagement in the process of enhancing cancer services. This study aimed to explore consumers’ perspectives on their involvement in cancer service improvement.MethodsCancer consumer representatives were recruited through Victorian Integrated Cancer Services, Australia. Eligible consumers were, or had been, a member of a health service improvement-related committee or project and attended at least one meeting with health professionals. Semi-structured qualitative interviews were conducted online and transcribed verbatim. Data were analysed using inductive thematic analysis.ResultsSix experienced consumer representatives were interviewed. Perspectives on their involvement in improving cancer services were categorised into three major topics. The first addressed personal aspects of involvement, in which participants described personal motivations (e.g., having lived experience of cancer themselves or in their family), challenges encountered in committee involvement, experiences of received support in their role as a consumer representative, concerns about narrow representation, and their evolving identity as a consumer representative. The second discussed practical contributions made by consumer representatives to improve systems and services. Participants detailed their active engagement with committees and consumer-led projects, contributing both their cancer experiences and general or professional skills. The third topic focused on directions for improving consumer involvement in the health system. Suggestions highlighted widening consumer representation to include often marginalised voices to inform decision-making at local committee and health system levels.ConclusionsThis study enhances the real-world understanding of the role that consumer representatives play in improving cancer health services. The strategies suggested in our research provide the opportunity to enhance consumer involvement and pave the way for more effective cancer service planning and implementation across diverse healthcare settings.

The Relationship of Emergency Contraception Knowledge of Young Individuals with Family Planning, Sexual and Reproductive Health Attitudes: A Cross-Sectional Study

Aim: To investigate the relationship between emergency contraception (EC) knowledge and attitudes towards family planning and sexual and reproductive health (SRH) among men and women aged 18-25 years living in Turkey and studying at university. Methods: The cross-sectional study was conducted between August-October 2023 with 492 participants Turkey. The data of the study were obtained through "Data Collection Form" and "Reproductive Health and Family Planning Attitude Scale (RHFPAS)". Results: In women, there was a significant difference between those who had heard of EC, knew the time of use, access, and side effects and RHFPAS. In men, there was a statistically significant difference between those who had heard of EC, time of use, access and side effects and infertility and assisted reproductive treatments. There was a weak moderate positive correlation between SRH knowledge level and RHFPAS total mean score in women and men(p

Operational and organizational variation in determinants of policy implementation success: the case of policies that earmark taxes for behavioral health services

BackgroundResearch on determinants of health policy implementation is limited, and conceptualizations of evidence and implementation success are evolving in the field. This study aimed to identify determinants of perceived policy implementation success and assess whether these determinants vary according to: (1) how policy implementation success is operationally defined [i.e., broadly vs. narrowly related to evidence-based practice (EBP) reach] and (2) the role of a person’s organization in policy implementation. The study focuses on policies that earmark taxes for behavioral health services.MethodsWeb-based surveys of professionals involved with earmarked tax policy implementation were conducted between 2022 and 2023 (N = 272). The primary dependent variable was a 9-item score that broadly assessed perceptions of the tax policy positively impacting multiple dimensions of outcomes. The secondary dependent variable was a single item that narrowly assessed perceptions of the tax policy increasing EBP reach. Independent variables were scores mapped to determinants in the Exploration, Preparation, Implementation, and Sustainment (EPIS) framework. Multiple linear regression estimated associations between measures of determinants and policy implementation success.ResultsPerceptions of tax attributes (innovation determinant), tax EBP implementation climate (inner-context determinant), and inter-agency collaboration in tax policy implementation (outer-context and bridging factor determinant) were significantly associated with perceptions of policy implementation success. However, the magnitude of associations varied according to how success was operationalized and by respondent organization type. For example, the magnitude of the association between tax attributes and implementation success was 42% smaller among respondents at direct service organizations than non-direct service organizations when implementation success was operationalized broadly in terms of generating positive impacts (β = 0.37 vs. β = 0.64), and 61% smaller when success was operationalized narrowly in terms of EBP reach (β = 0.23 vs. β = 0.59). Conversely, when success was operationalized narrowly as EBP reach, the magnitude of the association between EBP implementation climate and implementation success was large and significant among respondents at direct service organizations while it was not significant among respondents from non-direct service organizations (β = 0.48 vs. β=-0.06).ConclusionDeterminants of perceived policy implementation success may vary according to how policy implementation success is defined and the role of a person’s organization in policy implementation. This has implications for implementation science and selecting policy implementation strategies.

Development of Indicators for the Utilization of Environmental Health Policies in Gyeonggi-do

Development of Indicators for the Utilization of Environmental Health Policies in Gyeonggi-do

Statewide Outbreak of Neisseria meningitidis Serogroup Y, Sequence Type 1466 - Virginia, 2022-2024.

Invasive meningococcal disease (IMD) is a severe illness that can have devastating effects; outbreaks are uncommon in the United States. Vaccination is the preferred control measure for IMD outbreaks when a defined population at risk (e.g., college students or persons experiencing homelessness) can be identified. In August 2022, the Virginia Department of Health (VDH) began investigating an IMD outbreak in Virginia's Eastern Health Planning Region, prompted by the detection of four confirmed cases within 8 weeks. Clinical isolates available from three cases were characterized as Neisseria meningitidis serogroup Y, sequence type 1466. A subsequent statewide investigation identified 36 genetically related cases, including seven deaths (case fatality rate=19.4%) as of March 1, 2024. A majority of patients (63.9%) were in an age group (30-60 years) not generally considered at increased risk for IMD; 78.0% were non-Hispanic Black or African American. No common exposures, affiliations, or risk factors were identified, and a defined population could not be identified for vaccination. VDH recommended quadrivalent (serogroups A, C, W, and Y) meningococcal conjugate vaccination of a subset of close contacts of patients based on IMD risk factors and age range similar to that of patients with identified cases. IMD outbreaks might affect populations without established IMD risk factors. Lack of a well-defined population at risk might prompt exploration of novel control strategies, such as selective vaccination of close contacts.

Assessment of Mortality Attributable to Air Pollution in the Urban Area of Pisa (Central Italy) Characterized by Multi-Source Exposures

Air pollution is one of the main risk factors for human health. The aim of this study was to provide an Integrated Environmental and Health Impact Assessment (IEHIA) tool to estimate the impacts on both environment and human health in Pisa municipality (central Italy). For each pollutant considered (PM2.5, PM10, and NO2), both Population-Weighted Exposure (PWE) and Attributable Deaths (ADs) were calculated considering the difference between the PWE and the latest air quality guidelines suggested by the World Health Organization. The PWEs were 16.1 µg/m3, 24.9 µg/m3, and 25.9 µg/m3 for PM2.5, PM10, and NO2, respectively. The ADs from natural causes due to exposure to PM2.5, PM10, and NO2 were 63, 29, and 51, respectively. The AD distribution was mainly concentrated in urban areas for particulate matter and in urban and suburban areas for NO2. The results highlighted significantly higher levels of air pollution than the reference levels, with a percentage of ADs from natural causes of approximately 6% of the total mortality in Pisa. IEHIA offers support for environmental and health policies and territorial planning. The authors recommend the adoption of prevention measures aimed at mitigating air pollution in critical areas, with a consequent reduction in avoidable mortality.

Real-time measurement of metals in submicron aerosols with particle-into-liquid sampler combined with micro-discharge optical emission spectroscopy.

The paper presents a novel technique for quantifying trace metals in aerosol samples in real time. Airborne metals were continuously collected for one week near the Baltic Sea in Finland using a particle-into-liquid sampler (PILS). The collected liquid samples were analyzed for metals using micro-discharge optical emission spectroscopy (µDOES). The micro-discharge analyzer is designed to perform real-time, on-site measurements of metal concentrations in aqueous solutions. Currently, µDOES can provide online measurements of 30 metals, with typical detection limits from 0.01µg/m3 to 0.06µg/m3 with a long-term repeatability less than 5%. The novelty of this analyzer lies in its compact design, rapid detection capabilities, and ease of operation and maintenance. Several metals, including potassium (K), calcium (Ca), sodium (Na), aluminum (Al), magnesium (Mg), and copper (Cu), were measured in the aerosol samples collected using PILS. The results indicate that this approach has significant potential for future automated online monitoring of airborne metal concentrations, facilitating investigations into their sources and daily variations. The development of real-time technologies for rapid, online, and accurate atmospheric aerosol measurements is essential for advancing climate change research. Such advancements allowing for continuous real-time data enhance our understanding of aerosol dynamics, improve source identification, and inform public health and environmental policies, ultimately contributing to more effective climate change monitoring and mitigation.

Mortality from type 2 diabetes mellitus across municipalities in Mexico

BackgroundOne in six Mexican adults’ lives with type 2 diabetes mellitus (T2DM), which is the third leading cause of death in the country. Analyzing the geographic distribution of T2DM mortality helps identify regions with higher mortality rates. This study aimed to examine the spatial patterns of mortality from type 2 diabetes mellitus (T2DM) across municipalities in Mexico and to analyze the main contextual factors linked to this cause of death in 2020.MethodsWe employed a spatial Bayesian hierarchical regression model to estimate the risk and probability of death from type 2 diabetes mellitus (T2DM) across Mexico’s municipalities.ResultsThe SMR results revealed geographic and age-specific patterns. Central Mexico and the Yucatán Peninsula exhibited the highest excess mortality rates. For the population under 50 years of age, municipalities in Oaxaca had the highest T2DM mortality rates, whereas those aged 50 years old and older had the highest rates in Tlaxcala and Puebla. Socioeconomic factors such as low levels of educational attainment, lack of health services, dietary deficiency, and marginalization were positively associated with increased T2DM mortality risk. By contrast, GDP per capita showed a negative association. High-risk areas for T2DM mortality were prominent along the south of the Pacific Coast, the Bajío, Central Mexico, and southern Yucatán for those under 50, and along a central strip extending to the Yucatán Peninsula for the older population. Significant uncertainties in mortality risk were identified, with Central Mexico, Oaxaca, Chiapas, and Tabasco showing high probabilities of excess risk for those under 50 years of age and extended risk areas along the Gulf of Mexico for those 50 years old and older.ConclusionsThe assessment and identification of spatial distribution patterns associated with T2DM mortality, and its main contextual factors, are crucial for informing effective public health policies aimed at reducing the impact of this chronic disease in Mexico.

Biases in COVID-19 vaccine effectiveness studies using cohort design.

Observational studies on COVID-19 vaccine effectiveness (VE) have provided critical real-world data, informing public health policy globally. These studies, primarily using pre-existing data sources, have been indispensable in assessing VE across diverse populations and developing sustainable vaccination strategies. Cohort design is frequently employed in VE research. The rapid implementation of vaccination campaigns during the COVID-19 pandemic introduced differential vaccination influenced by sociodemographic disparities, public policies, perceived risks, health-promoting behaviors, and health status, potentially resulting in biases such as healthy user bias, healthy vaccinee effect, frailty bias, differential depletion of susceptibility bias, and confounding by indication. The overwhelming burden on healthcare systems has escalated the risk of data inaccuracies, leading to outcome misclassifications. Additionally, the extensive array of diagnostic tests used during the pandemic has also contributed to misclassification biases. The urgency to publish quickly may have further influenced these biases or led to their oversight, affecting the validity of the findings. These biases in studies vary considerably depending on the setting, data sources, and analytical methods and are likely more pronounced in low- and middle-income country (LMIC) settings due to inadequate data infrastructure. Addressing and mitigating these biases is essential for accurate VE estimates, guiding public health strategies, and sustaining public trust in vaccination programs. Transparent communication about these biases and rigorous improvement in the design of future observational studies are essential.

INFECÇÃO POR HELICOBACTER PYLORI E SUAS MANIFESTAÇÕES CLÍNICAS

Helicobacter pylori (H. pylori) is one of the most prevalent pathogens in humans, contributing significantly to gastroduodenal diseases. Despite being widely researched, there are still gaps in the understanding of this pathology. The general objective of this study is to analyze the existing literature on the clinical manifestation of H. pylori infection in humans and its epidemiological correlations. The specific objective is to update academics and health professionals on the epidemiology and clinical manifestations of H. pylori infection in humans. To carry out this bibliographic review, consensus statements on H. pylori, guidelines and scientific articles available in the PubMed and SciELO databases were consulted. The inclusion criteria adopted were: publications from 2016 to 2024, free access to the full text, clinical trials, systematic reviews, controlled and randomized tests, and writing in Portuguese, English and/or Spanish. The selected articles contribute relevant concepts to outline ideas related to the topic of this study. Works that were not aligned with the objectives of this study were excluded, and those that were not fully available free of charge, only abstracts and those with inadequate methodology or low scientific quality. It was found that additional studies on H. pylori are essential to fully elucidate the pathogenesis of this infection, however, there is evidence that the process is influenced by genetic and environmental factors, which also require further research. Furthermore, it is essential to raise awareness among legislators when planning public health policies and, thus, improve patients' quality of life.

Overcoming genetic neuromuscular diagnostic pitfalls in a middle-income country.

Neuromuscular disorders affect almost 20 million people worldwide. Advances in molecular diagnosis have provided valuable insights into neuromuscular disorders, allowing for improved standards of care and targeted therapeutic approaches. Despite this progress, access to genomic diagnosis remains scarce and inconsistent in middle-income countries such as Brazil. The lack of public health policies to enable feasible genetic diagnosis and the shortage of neuromuscular disorders specialists are the main reasons in this process. We report our experience in a transcontinental genomic consortium for neuromuscular disorders highlighting how collaborative efforts have helped overcome various obstacles in diagnosing our patients. We describe several challenging cases categorized into three major themes, underlining significant gaps in genetic diagnosis: (i) reverse phenotyping and variant validation, (ii) deep phenotyping and identifying a bespoke molecular approach, and (iii) exploring the use of genomic tests beyond whole exome sequencing. We applied a qualitative case-based approach to exemplify common pitfalls in genomic diagnosis in a middle-income country. Our experience has shown that establishing a virtual transcontinental partnership is viable, offering effective exchange of scientific experiences, providing both guidance for rational decision-making and specialized training on a local level and access to diverse molecular diagnosis strategies and functional analyses. Collaborative efforts such as these have the potential to overcome local obstacles, strengthen scientific capabilities, foster diverse multi-ethnic cohorts, and ultimately provide improved care for patients.

Unmasking population undercounts, health inequities, and health service access barriers across Indigenous populations in urban Ontario.

Our Health Counts (OHC) methods are designed to address gaps in urban-based Indigenous health information. In partnership with local Indigenous health service providers, we have successfully implemented OHC in six Ontario cities. The aim of this study is to summarize findings regarding Indigenous population undercount, health inequities, and health service access barriers across study sites. We estimated Indigenous population size using OHC census participation survey responses and a multiplier approach. Health inequities between Indigenous populations and overall populations in each city were examined using respondent-driven sampling (RDS), adjusted OHC survey results, and existing public data. Measures included health status outcomes; determinants of health; barriers to health service access, including discrimination by health service providers; and unmet health needs. Indigenous social networks were strong and extensive, and the urban populations demonstrate resilience and cultural continuity across multiple measures. Self-reported rates of census participation for Indigenous populations were markedly lower than those for the general population in each city, and OHC Indigenous population size estimates were consistently 2‒4 times higher than reported in the census. Indigenous to general population health inequities cut across measures of chronic disease, determinants of health, and unmet health needs. Indigenous populations experienced multiple barriers to health services access, including racial discrimination by health service providers. The Canadian census appears to markedly underestimate Indigenous population size in urban areas. Indigenous health inequities and service access barriers are striking and cross-cutting. Timely adaptation of health policies, services, and funding allocations in response to these findings is recommended.

The role of preventive medicine in reducing chronic disease Burden in the USA: A Systematic Review

Chronic diseases, including cardiovascular disease, diabetes, cancer, and respiratory illnesses, are the leading causes of morbidity and mortality in the United States, placing a significant burden on individuals, healthcare systems, and the economy. Preventive medicine, encompassing primary, secondary, and tertiary strategies, plays a crucial role in mitigating this burden by focusing on disease prevention and health promotion. This systematic review aims to evaluate the effectiveness of preventive medicine in reducing the chronic disease burden in the USA. Through a comprehensive search of peer-reviewed studies, we explore the impact of screening programs, early detection, lifestyle interventions, and health policies designed to prevent chronic diseases. The review highlights the success of preventive measures in decreasing disease incidence, improving health outcomes, and reducing healthcare costs. However, challenges such as disparities in access to care, patient adherence, and the integration of preventive services into the broader healthcare system remain significant barriers. The review concludes by discussing policy implications, recommending strategies to overcome implementation challenges, and outlining future research directions to enhance the role of preventive medicine in combating chronic diseases in the USA.

Diálogo Inicial

This study investigates the application of the Collective Benefit, Authority to Control, Responsibility, and Ethics (CARE) principles to the indigenous health data collected by the Secretariat of Indigenous Health (SESAI) in Brazil. Initially, the context of indigenous health policies in the country is discussed, highlighting the importance of integrating the Unified Health System (SUS) with indigenous policy to promote access to health for all. The research focuses on the need to align SESAI's data with the CARE principles, aiming to promote transparency and data availability for scientific research. Using a quantitative approach with exploratory aspects, the methodology included a bibliographic and documentary analysis to understand the CARE principles and propose strategies for aligning SESAI's data. The results indicate a growing interest in the topic, although there are gaps in data availability and in recognizing the rights of indigenous peoples over their data. The study initiated data processing, prioritizing the CARE principles, with the data made available in a geolocated tool. It concludes that the CARE Principles should guide future data collection and processing, supporting transparency and access to indigenous health data within the context of open government.

Cost minimization analysis of chronic kidney disease management: Evaluating economic strategies for early intervention and treatment optimization

Chronic kidney disease is a common global health condition characterized by progressive loss of kidney function and significant cost burden on the healthcare system worldwide. The disease often coexists with conditions such as diabetes and hypertension, further complicates its management and increasing associated costs. Effective economic management, particularly in the early stages of CKD, is crucial for reducing long-term healthcare expenses and improving patient outcomes. This review examines the utility of cost minimization analysis (CMA) as a strategic tool for evaluating economic options in CKD management. CMA is an economic evaluation method that compares the costs of different therapeutic interventions that have demonstrated equivalent clinical effectiveness, thereby aiding healthcare providers and policymakers in identifying the most cost-efficient options to optimize resource utilization. This review highlights the economic impact of CKD, focusing on the increasing costs linked to advanced disease management and the essential role of early diagnosis and intervention in reducing these costs and explores various cost-effective strategies for CKD management, including pharmacological treatments, lifestyle modifications, and patient education, to identify approaches that are both clinically and economically advantageous. Additionally, the broader implications of cost minimization for healthcare policy, clinical decision-making, and resource allocation are discussed for their significance in a resource-limited healthcare setting. Evidence indicates that prioritizing cost-effective CKD management through early intervention and preventive care can significantly lower healthcare expenditures, slow the disease progression, and enhance patient’s quality of life. By adopting such strategies, healthcare systems can achieve better clinical outcomes and ensure financial sustainability.

Cost-utility analysis of once-weekly insulin icodec and once-daily insulin glargine in patients with type 2 diabetes receiving basal-bolus insulin therapy in China.

The purpose of this study is to explore the rational pricing range for the once-weekly administration of insulin icodec in the treatment of type 2 diabetes patients in China who have already received basal insulin therapy. The data foundation of this study originates from the ONWARDS 4 clinical trial and research materials on Chinese type 2 diabetes patients. By comprehensively applying cost-utility analysis methods and binary search techniques, the appropriate price positioning of insulin icodec was determined from the perspective of China's healthcare system. In the long-term treatment simulation, we found that insulin icodec and insulin glargine performed similarly in terms of quality-adjusted life years (QALYs), with 10.15 and 10.07 years, respectively. Although the annual cost of insulin icodec was initially assumed to be equivalent to that of insulin glargine, in-depth analysis revealed that insulin icodec may have higher cost-effectiveness potential. Further price sensitivity analysis indicated that the reasonable cost range of insulin icodec lies between $851.95 and $1358.25. After fine-tuning through univariate sensitivity analysis, this cost range was revised to $784.90 to $1145.96, a conclusion that was robustly validated in subsequent probabilistic sensitivity analysis and scenario simulations. The conclusion drawn from this study is that, with insulin glargine as the cost reference, the economic cost of insulin icodec for Chinese type 2 diabetes patients is expected to range from $784.90 to $1145.96, providing a reference basis for clinical decision-making and healthcare policy formulation.

HEALTH AND EDUCATION IN ANGOLA: SOCIAL SERVICE AS A STONE-STANDING TRAJECTORY OF INTERLOCUTION

This article presents a necessary debate on the need for dialogue between health and education policies through which Social Services should mark their presence in Angola. The debate followed the historical-materialist dialectical method, based on bibliographical and documentary research. The research obtained results that clarify that the fragmentation of social policies is a constitutive part of bourgeois ideology and that Angola is a State, one of the manifestations of the political dimension of universal capital that disarticulates social policies as a strategy to make the political dimension of the social issue precarious; Social Services in social policies in Angola have greater media experience in health policies and have not yet gained occupational spaces in education policies; finally, the practical experience of the “Dom Moisés Alves de Pinho School Complex” demonstrated that it is possible for the Angolan State to expand the scope of Social Services intervention in social policies, such as health policies, and that health and education policies can also be processed in an articulated manner.

India’s Vaccine Diplomacy and Global Health Governance: A Soft Power Approach in the Context of Public Policy and Religious Values

Research Problem: India's vaccine diplomacy during the Covid-19 pandemic has not only emerged as a significant tool of soft power but also involves moral and ethical dimensions closely tied to religious values and public policy. In the midst of a global crisis, the interaction between India’s vaccine diplomacy and the religious and public policy frameworks of recipient nations requires deeper exploration. Research purposes: This article aims to analyze the role of India’s vaccine diplomacy in relation to public policy and religious values in recipient countries, examining how India’s global health initiatives influence moral and ethical perceptions of vaccine distribution, fairness, and international solidarity. Research methods: The study employs policy analysis through a comprehensive literature review, focusing on the relationship between vaccine diplomacy, public policy, and responses from religious communities in the recipient countries. It also explores the ethical and spiritual dimensions of India’s health diplomacy approach and its impact on public health policies. Results and Discussion: The findings reveal that India’s vaccine diplomacy, through initiatives like "Vaccine Maitri," not only strengthens political ties with neighboring and global countries but also interacts with religious value systems, influencing public acceptance of vaccines. Moral values such as solidarity and justice, integral to many religious traditions, reinforce positive responses to the vaccine initiatives. Additionally, in some nations, religious communities have played a significant role in promoting vaccine acceptance by framing the health response in moral terms. Research Implications and Contributions: This research highlights the importance of integrating religious values into public health policy, particularly in global health contexts. Vaccine diplomacy rooted in moral solidarity and universal ethical principles, aligned with religious values, has the potential to enhance international cooperation and reduce vaccine hesitancy. Thus, this study contributes to understanding how religion and public policy can collaborate effectively in addressing global health challenges.

Evaluating Policy Shifts on Perceived Greenspace Quality: Applying Regression Discontinuity During the COVID-19 Reopening Period

Abstract: Urban greenspaces have been essential in supporting residents’ well-being during the COVID-19 pandemic, particularly under strict lockdown measures. However, the impact of changing containment policies on residents’ perceived greenspace quality remains insufficiently explored. This study utilized online survey data collected between 11 October and 29 December 2022, in Shanghai, coinciding with the major policy shift on 5 December 2022. A probability proportionate to size sampling was adopted to survey residents aged 18 and above who had lived in the city for at least six months, yielding a total of 577 valid responses. We assessed residents’ perceived greenspace quality using 20 park- and community-level variables, focusing on both overall quality and specific features of greenspaces. A regression discontinuity design (RDD) was applied to evaluate how the lifting of the COVID-19 policies influenced residents’ perceptions of parks and community greenspaces. Our RDD estimation indicates no statistically significant change in residents’ overall perceived quality of parks after the policy shift, except for increased satisfaction with specific features such as plant diversity, maintenance, seating areas, trails, and large open spaces. In contrast, residents who responded after the policy shift reported a significantly higher perceived quality of community greenspaces compared to those who completed the survey before the shift (0.609 score difference, p < 0.01), with notable increases in satisfaction regarding plant diversity, maintenance, and seating areas. Perception of plant quantity remained unchanged in both types of greenspaces. Residents expressed greater satisfaction with sports facilities in parks, while community greenspaces were preferred for their water features and esthetic qualities. By adopting an RDD with a unique dataset, this study contributes empirical evidence to the current ongoing debate on the role of urban greenspace during the later stages of COVID-19. Specifically, it examines how changes in public health policy and the resulting increase in mobility might affect residents’ perceived greenspace quality. The findings can assist decision-makers and urban planners in developing more adaptive strategies to address the diverse needs of residents for greenspaces during the transitional period of a public health crisis.