International Journal of Health Planning and Management最新文献

{"title":"Job Satisfaction of Registered Dietitians Across Workplace Settings and Sectors in Lebanon: A Cross- Sectional Study.","authors":"Mira Daher, Carole Serhan, Mireille Serhan","doi":"10.1002/hpm.70015","DOIUrl":"https://doi.org/10.1002/hpm.70015","url":null,"abstract":"<p><p>Lebanese registered dietitians are employed in various practice settings; however, little is known about their job satisfaction. This cross-sectional study aimed to determine job satisfaction among Lebanese female dietitians working in different professional fields, between the private and the public sector. Job satisfaction was measured with Spector's Job Satisfaction Survey (JSS) as a validated tool. Descriptive statistics were performed on socio-demographic data. The comparison of the nine facets in job satisfaction among eight workplace fields was conducted using the Kruskal-Wallis test. The same test was used for the comparison between the private and the public workplace sectors. In our study, dietitians were found to be satisfied with their job with a median score of 146 and a significant difference among different workplaces (X² = 572.341, p < 0.001), with those working in hospitals being the most satisfied. Participants reported moderate satisfaction in the areas of promotion (facet satisfaction score [FSS] = 14; p = 0.013), supervision (FSS = 14; p = 0.027), operating conditions (FSS = 14, p = 0.004) and co-workers (FSS = 15; p = 0.012). They expressed satisfaction with the nature of their work (FSS = 19; p = 0.003) but dissatisfaction with communication (FSS = 11; p = 0.018). No statistically significant differences were found in the facets of payment (FSS = 14; p = 0.117), fringe benefit (FSS = 14; p = 0.210) and contingent rewards (FSS = 14; p = 0.178). Additionally, satisfaction levels varied significantly between employment sectors (X² = 581.762, p < 0.001), with those in the public sector reporting higher satisfaction 127.50 ± 22.96) compared to those in the private sector (126.50 ± 17.91). Despite the generally positive attitudes towards practicing their profession, this study has provided a deeper understanding of the factors influencing their job satisfaction. It is recommended that all organizations employing dietitians in Lebanon be encouraged to conduct regular job satisfaction assessments. These efforts would contribute to enhancing the well-being of dietitians and better equipping policy-and strategy-makers with the necessary insights to effectively improve workplace conditions.</p>","PeriodicalId":47637,"journal":{"name":"International Journal of Health Planning and Management","volume":" ","pages":""},"PeriodicalIF":1.9,"publicationDate":"2025-07-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144700094","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Equity in Health Policy for Persons With Disabilities in Brazil: Spatial Distribution of Specialised Rehabilitation Centres.","authors":"Paulo Henrique Dos Santos Mota, Bianca Tomi Rocha Suda, Patricia Marques Moralejo Bermudi, Francisco Chiaravalloti Neto, Aylene Bousquat","doi":"10.1002/hpm.70010","DOIUrl":"https://doi.org/10.1002/hpm.70010","url":null,"abstract":"<p><strong>Objective: </strong>To analyse the spatial distribution of Specialised Rehabilitation Centres (CERs) in Brazil, considering the prevalence of persons with disabilities (PWD), socioeconomic factors, and health financing.</p><p><strong>Methods: </strong>An ecological study design was employed, using descriptive and Bayesian spatial regression analyses on data from 438 health regions in Brazil. The presence or absence of CERs in these regions was the main outcome. Covariates included PWD population, socioeconomic indicators, health service funding, and health system factors.</p><p><strong>Results: </strong>The study revealed that CERs are present in only 32% of health regions, with significant associations between CER implementation and factors such as monthly per capita household income, health expenditure per inhabitant, and regional GDP. Notably, the increase in PWD numbers did not directly correlate with CER implementation at the regional level.</p><p><strong>Conclusion: </strong>The implementation of CERs is influenced by economic and health service factors, not just by the prevalence of PWD. To improve equity in access, it is essential to prioritise CER implementation in regions with higher rehabilitation needs and better utilise available data on disability demographics. Comprehensive, integrated care for PWD requires interdisciplinary and intersectoral actions.</p>","PeriodicalId":47637,"journal":{"name":"International Journal of Health Planning and Management","volume":" ","pages":""},"PeriodicalIF":1.9,"publicationDate":"2025-07-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144660788","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"The Exodus and Its Toll: Sri Lanka's Economic Crisis and the Migration of Doctors.","authors":"Madunil Niriella, Krishanni Prabagar, Pathum Premaratna, Ravini Premaratna, Saroj Jayasinghe, Tiloka de Silva, Nilanthi de Silva, Janaka de Silva","doi":"10.1002/hpm.70011","DOIUrl":"https://doi.org/10.1002/hpm.70011","url":null,"abstract":"<p><p>The migration of qualified medical doctors from low- and middle-income countries (LMICs) to high-income countries (HICs) presents substantial challenges for healthcare systems, particularly in resource-limited settings. This study examines the recent surge in doctor migration from Sri Lanka following its unprecedented economic crisis. We aimed to quantify the economic and systemic impacts of the migration of qualified doctors on healthcare service delivery, medical education, and health equity, and explore feasible policy interventions to mitigate these effects. We conducted a mixed-methods policy analysis using national and international data between 2022 and 2024, including Ministry of Health data, Post-Graduate Institute of Medicine figures and international Medical Council reports. We estimate that nearly 1489 doctors, including specialists, migrated during this period, resulting in a financial loss of approximately LKR 12.5 billion (USD 41.5 million) to the Sri Lankan government and taxpayers. This migration has strained healthcare infrastructure, particularly in rural and underserved areas, led to shortages in critical specialities, disrupted medical education, and exacerbated inequities in access to care. Existing retention mechanisms, such as post-training service bonds, have been largely ineffective. We discuss a range of policy options, including improved enforcement of bonds, strategic use of dual citizenship, bilateral tax-sharing agreements, and investments in working conditions and training infrastructure to retain medical talent. In conclusion, the migration of doctors presents a multidimensional threat to Sri Lanka's public healthcare system. Urgent, evidence-based interventions are essential to preserve the sustainability of free healthcare and medical education systems in LMICs under similar duress.</p>","PeriodicalId":47637,"journal":{"name":"International Journal of Health Planning and Management","volume":" ","pages":""},"PeriodicalIF":1.9,"publicationDate":"2025-07-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144650897","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Waiting for Specialists: A Multi-Priority and Multi-Speciality Analysis.","authors":"Pedro G Rodrigues, Maria João Bárrios, Marta S G Mendes","doi":"10.1002/hpm.70007","DOIUrl":"https://doi.org/10.1002/hpm.70007","url":null,"abstract":"<p><p>Manageing waiting times for specialist consultations is a critical challenge for healthcare systems worldwide. This study examines how hospitals manage outpatient specialist consultations through multi-priority systems, analysing nearly a million consultations across 29 medical specialities at a major Portuguese hospital (2010-2019). Using fixed-effects models with Driscoll-Kraay standard errors, we investigate how operational factors affect waiting times for first consultations across three priority levels. Each additional day spent in triage adds 0.52 days to urgent consultation waits (p < 0.10) but 1.41 days for routine cases (p < 0.01), demonstrating how delays cascade through the system. Staffing changes primarily benefit routine consultations, reducing waiting times by 1.88 days per additional specialist (p < 0.05). Our analysis reveals sophisticated cross-priority effects: backlogs in higher-priority cases significantly increase waiting times for lower-priority consultations, with each additional high-priority case increasing normal-priority waits by 0.15 days (p < 0.001), showing how hospitals actively protect urgent access while systematically manageing delays for routine appointments. Provider-initiated cancellations disproportionately affect lower-priority cases (0.03 days, p < 0.01), whereas urgent consultations show resilience to scheduling disruptions. A 2017 policy reform reducing maximum waiting times triggered speciality-specific adaptations. Despite increased waiting times across all priority levels (p < 0.05), cardiac units implemented operational adjustments: enhanced triage efficiency (-30.88 days, p < 0.001), improved backlog management (-0.25 days, p < 0.001), and optimised capacity utilization (-0.18 days, p = 0.056). These findings show how hospitals balance clinical prioritisation with system efficiency, as speciality-specific constraints shape access outcomes. We highlight the need for targeted resource allocation and sophisticated triage systems that adapt to changing pressures while maintaining clinical priorities.</p>","PeriodicalId":47637,"journal":{"name":"International Journal of Health Planning and Management","volume":" ","pages":""},"PeriodicalIF":1.9,"publicationDate":"2025-07-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144620850","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Inequality in Health Insurance Coverage in a Pluralistic Health Insurance System: Evidence From India.","authors":"Pragyan Monalisa Sahoo, Himanshu Sekhar Rout","doi":"10.1002/hpm.70008","DOIUrl":"https://doi.org/10.1002/hpm.70008","url":null,"abstract":"<p><strong>Background: </strong>Persistent inequality in financial protection mechanisms in healthcare continues to be a major challenge within India's pluralistic health insurance system, disproportionately disadvantaging marginalised groups.</p><p><strong>Methods: </strong>Our study uses NFHS 4 and 5 household data to investigate inequality in health insurance coverage prevalence and transition across socioeconomic and demographic strata. It categorises health insurance coverage based on the number and type of coverage, considering factors such as the provider, pooling mechanism, and target population. We employ descriptive statistics and the concentration index to assess the prevalence of health insurance coverage. To delve deeper into the factors influencing enrolment in different types of coverage, we created 24 mutually exclusive groups at the intersection of sex-income-marriage-caste. These categories, along with other explanatory variables, are analysed for their influence on the enrolment of coverage using multinomial logistic regression models.</p><p><strong>Results: </strong>Although the proportion of health insurance coverage increased from NFHS 4 to NFHS 5, 59.01% of the sample population still lacked coverage, indicating insufficient progress. Both surveys reveal significant disparities in coverage based on state-level, social, economic, and demographic factors. While the role of social and demographic determinants remains relatively modest, the distributional gradient of insurance prevalence across economic strata and state categories was high. India's pluralistic health insurance system has resulted in the population being covered under different coverage mechanisms. However, among these various types of coverage, the majority of sample households were only single, predominantly under SHI.</p><p><strong>Conclusions: </strong>The study investigated disparities in health insurance coverage across various social, economic, and demographic segments in India, revealing that inequalities are influenced by a combination of state-level, socioeconomic, and demographic factors. These findings call for a unified and inclusive health financing framework that can address systemic fragmentation. Moving towards a 'One Nation, One Insurance' model offers a transformative pathway to ensure equitable, efficient, and universal health coverage for all Indians. Addressing these determinants presents potential policy tools for improving coverage imbalances, thereby offering opportunities for targeted interventions to mitigate disparities.</p>","PeriodicalId":47637,"journal":{"name":"International Journal of Health Planning and Management","volume":" ","pages":""},"PeriodicalIF":1.9,"publicationDate":"2025-07-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144609896","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"What a State: Why the U.S. is Still Bad for Your Health (Policy).","authors":"Calum Paton","doi":"10.1002/hpm.70009","DOIUrl":"https://doi.org/10.1002/hpm.70009","url":null,"abstract":"<p><p>The second Trump administration's centrepiece legislation, the modestly-named Big Beautiful Bill, passed by the House of Representatives and going through the Senate at time of writing, offers an opportunity to reflect upon how the U.S. state affects health policy and the prospects for equitable access to affordable healthcare. Is the U.S. still an outlier (by comparison with Europe and much of the world), in that its many of its citizens are either uncovered, poorly covered or tenuously and only temporarily covered by health insurance? The answer is yes. And the chipping away at Obamacare and Medicaid by Trump 2.0 (learning from his failure to repeal Obamacare in 2017) as part of the Big Beautiful Bill, shows us that it is easier for the Right to dismantle progressive social legislation than it is for the Liberal-Left to assemble it. To understand why, and to revisit why the U.S. polity struggles to enact progressive healthcare reform, we have to understand the effect of the U.S. state (i.e. political structure) upon public policy. This article revisits the nature of that state, to depict the underlying causes of 'American exceptionalism' which are partly ideological but also more significantly institutional than often realised.</p>","PeriodicalId":47637,"journal":{"name":"International Journal of Health Planning and Management","volume":" ","pages":""},"PeriodicalIF":1.9,"publicationDate":"2025-07-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144592670","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"'What is Your Job?': A Qualitative Analysis of the Deployment, Utilisation, and Contribution of Support Workers in Diagnostic Imaging Services in England.","authors":"Sarah Etty, Beverly Snaith, Robert Appleyard, Julie Nightingale","doi":"10.1002/hpm.70005","DOIUrl":"https://doi.org/10.1002/hpm.70005","url":null,"abstract":"<p><p>Support workers (SWs) form the largest section of the NHS workforce, and the ongoing NHS workforce crisis underscores the need for their efficient utilisation. This study explored the deployment of imaging SWs within NHS radiology departments in England, forming part of a larger multiphase research project funded by the National Institute for Health Research (NIHR). It involved multi-centre case studies across nine radiology departments, employing a thematic analysis of focus groups and interviews with a range of radiology staff, including SWs themselves (n = 113). Results showed that recruitment of SWs was generally not challenging, however, retention was variable potentially due to limited opportunities for career progression and a lack of role understanding. Deployment strategies varied significantly across sites, which sometimes influenced SW effectiveness and were often selected for service need rather than SW development. Role scope was often unclear and training inconsistent which may exacerbate poor role understanding, and the lack of clear career pathways outside of professional registration conflicted with SWs' strong desire for progression. SWs are highly valued, crucial to operational efficiency and excellent patient care. Efficient deployment of SWs within NHS radiology services is crucial for alleviating workforce shortages and improving service delivery, however, this is impeded by the variability in role definition and deployment practices evidenced in this study. Standardising role titles, responsibilities, and training, and creating clear progression pathways could help to fully harness the capabilities of SWs in healthcare settings. National frameworks offer recommendations for standardisation, but this study suggests implementation remains inconsistent or delayed.</p>","PeriodicalId":47637,"journal":{"name":"International Journal of Health Planning and Management","volume":" ","pages":""},"PeriodicalIF":1.9,"publicationDate":"2025-07-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144568000","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Out-of-Pocket Expenditure and its Determinants Amongst the Patients Undergoing Advanced Radiological Procedures in the Public Healthcare Facilities of Tamil Nadu, South India.","authors":"Dhanajayan Govindan, Suthanthira Kannan, Deivasigamani Kuberan, Arivarasan Barathi, Venmathi Elangovan, Afrith John Poul, Muneera Parveen, Marie Gilbert Majella, Yuvaraj Krishnamoorthy","doi":"10.1002/hpm.70006","DOIUrl":"https://doi.org/10.1002/hpm.70006","url":null,"abstract":"<p><strong>Background: </strong>Advanced radiological procedures, such as CT, MRI, and PET scans, are crucial for accurate diagnostics and treatment planning but often result in substantial out-of-pocket expenditures (OOPE) for patients, especially in developing countries like India. Despite progressive health policies in Tamil Nadu, the financial burden on patients undergoing these procedures in public healthcare facilities remains a concern. Hence, this study was done to assess the OOPE and its determinants amongst patients undergoing CT, MRI and PET scan procedures in public healthcare facilities of Tamil Nadu.</p><p><strong>Methods: </strong>This cross-sectional study analysed OOPE among 2415 patients undergoing advanced radiological procedures in public healthcare facilities across 12 districts in Tamil Nadu. A two-step sampling strategy was employed to select 23 healthcare facilities. Patient-level costs were calculated, including direct medical, direct non-medical, and indirect costs. Determinants of OOPE were assessed using log-linear regression models.</p><p><strong>Results: </strong>PET scans were the costliest procedure, with median total cost per patient of INR 12,150 (USD 147.14), primarily due to direct medical expenses. Median total costs per patient for CT and MRI scans were INR 1460 (USD 17.68) and INR 3250 (USD 39.36), respectively. Factors significantly associated with higher OOPE included urban residence (e^β = 1.13 for CT; 1.17 for MRI), higher socioeconomic status (e^β = 1.25 for Class I vs. V in CT; 1.45 for Class I vs. V in MRI), lack of insurance utilisation (e^β = 1.75 for CT; 3.73 for MRI), absence of insurance (e^β = 1.89 for CT; 3.85 for MRI), greater travel distance (e^β = 1.51 for CT; 1.56 for MRI), and longer waiting times (e^β = 1.21 for CT).</p><p><strong>Conclusions: </strong>The study reveals significant financial burdens on patients undergoing advanced radiological procedures, highlighting the need for policy reforms to enhance insurance coverage utilisation, reduce urban-rural disparities, and improve access to affordable care. Addressing these determinants is crucial for reducing OOPE and ensuring equitable access to essential diagnostic services.</p>","PeriodicalId":47637,"journal":{"name":"International Journal of Health Planning and Management","volume":" ","pages":""},"PeriodicalIF":1.9,"publicationDate":"2025-06-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144530359","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Barriers and Strategies for Inclusion of Value-Based Healthcare in Contract Negotiations in the Netherlands: Study Among Hospital and Insurer Executives.","authors":"Diogo L L Leao, Dennis van Veghel, Lise A M Moers, Wim Groot, Milena Pavlova","doi":"10.1002/hpm.70003","DOIUrl":"10.1002/hpm.70003","url":null,"abstract":"<p><strong>Background: </strong>This paper analyses why, despite its recognized importance, value-based healthcare (VBHC) has not gained more prominence in negotiations between health insurers and hospitals in the Netherlands.</p><p><strong>Methods: </strong>Data collected by interviews used a standardized questionnaire with closed- and open-ended questions. Respondents included hospital and insurer executives, and experts on VBHC in the Netherlands.</p><p><strong>Results: </strong>Hospital and insurer executives addressed issues of cost containment, volume management, and care availability. Despite recognising the potential of VBHC to enhance patient outcomes and experiences, reluctance persists due to uncertainties about cost-savings, its complexity, lack of data, and competing priorities. Hospital executives advocated experiments with VBHC, trust-building, and continuous evaluation, with strategies to standardise measures, enhance information technology (IT) infrastructure, promote data transparency, foster collaboration, and educate stakeholders. Participants also underlined the need for systemic change and governmental action.</p><p><strong>Conclusions: </strong>Negotiations mostly focus on cost containment and volume management. This reflects a systemic emphasis on immediate financial concerns over long-term value creation. The hesitancy in transitioning to VBHC underscores the need for collaborative strategies and systemic shifts to prioritise patient-centric care. External factors such as fee-for-service payment systems further complicate VBHC adoption, requiring governmental intervention and cultural transformation to align incentives and promote sustainable healthcare practices.</p>","PeriodicalId":47637,"journal":{"name":"International Journal of Health Planning and Management","volume":" ","pages":""},"PeriodicalIF":1.9,"publicationDate":"2025-06-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144334180","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Artificial Intelligence and Corruption: Opportunities and Challenges in the Health Sector.","authors":"Paula Del Rey-Puech, Dina Balabanova, Martin McKee","doi":"10.1002/hpm.70002","DOIUrl":"https://doi.org/10.1002/hpm.70002","url":null,"abstract":"<p><p>Corruption in health systems diverts resources, erodes trust, and reduces service quality. Traditional oversight methods struggle to detect fraudulent patterns, but Artificial Intelligence (AI) offers new possibilities. AI can analyse large datasets to predict corruption risks and detect irregularities in procurement, insurance claims, and counterfeit medicines. Successful applications include AI-powered tools that flag suspicious transactions, expose bid-rigging in procurement, and identify fraudulent medical billing. AI can also complement other analytical tools to help track counterfeit drug supply chains through image recognition and network analysis. However, AI's impact depends on how it is deployed. Government-led AI initiatives may enhance transparency but risk reinforcing power imbalances or enabling authoritarian control. In contrast, civil society-driven efforts can empower citizens to hold authorities accountable but face challenges like limited data access and misinformation risks. Moreover, AI can also facilitate corruption in the health system through biased algorithms, deepfake propaganda, or manipulated AI-driven decision-making in resource allocation. Maximising AI's anti-corruption potential in healthcare requires investments in skilled personnel and data systems. AI should complement human oversight, with transparent auditing mechanisms to mitigate biases. Integrating blockchain and AI technologies may enhance accountability by securing procurement records and preventing data manipulation. While AI presents significant opportunities, its application to anti-corruption remains a political issue as much as a technological one. Careful governance, ethical and legal safeguards, and balanced implementation will determine whether AI combats corruption or exacerbates abuses.</p>","PeriodicalId":47637,"journal":{"name":"International Journal of Health Planning and Management","volume":" ","pages":""},"PeriodicalIF":1.9,"publicationDate":"2025-06-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144276303","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}