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<!DOCTYPE ArticleSet PUBLIC "-//NLM//DTD PubMed 2.7//EN" "https://dtd.nlm.nih.gov/ncbi/pubmed/in/PubMed.dtd">
<ArticleSet>
<Article>
<Journal>
				<PublisherName>Kerman University of Medical Sciences</PublisherName>
				<JournalTitle>International Journal of Health Policy and Management</JournalTitle>
				<Issn>2322-5939</Issn>
				<Volume>15</Volume>
				<Issue>1</Issue>
				<PubDate PubStatus="epublish">
					<Year>2026</Year>
					<Month>12</Month>
					<Day>01</Day>
				</PubDate>
			</Journal>
<ArticleTitle>Economic Burden of Non-medicinal Poisoning From Healthcare Provider Perspective in 2020: A Prevalence-Based Cost-of-Illness Study in Thailand</ArticleTitle>
<VernacularTitle></VernacularTitle>
			<FirstPage>1</FirstPage>
			<LastPage>10</LastPage>
			<ELocationID EIdType="pii">4828</ELocationID>
			
<ELocationID EIdType="doi">10.34172/ijhpm.8928</ELocationID>
			
			<Language>EN</Language>
<AuthorList>
<Author>
					<FirstName>Mu Htay</FirstName>
					<LastName>Kywel</LastName>
<Affiliation>Master of Science Program in Social, Economic and Administrative Pharmacy,
Mahidol University, Bangkok, Thailand</Affiliation>

</Author>
<Author>
					<FirstName>Orathai</FirstName>
					<LastName>Khiaocharoen</LastName>
<Affiliation>Thai CaseMix Centre, Division of
Healthcare Information Standards Service, Health Systems Research Institute,
Bangkok, Thailand</Affiliation>
<Identifier Source="ORCID">0000-0002-9273-679X</Identifier>

</Author>
<Author>
					<FirstName>Chatchon</FirstName>
					<LastName>Prasertworakul</LastName>
<Affiliation>Thai CaseMix Centre, Division of
Healthcare Information Standards Service, Health Systems Research Institute,
Bangkok, Thailand</Affiliation>

</Author>
<Author>
					<FirstName>Tanwa</FirstName>
					<LastName>Khattiyod</LastName>
<Affiliation>Thai CaseMix Centre, Division of
Healthcare Information Standards Service, Health Systems Research Institute,
Bangkok, Thailand</Affiliation>

</Author>
<Author>
					<FirstName>Sitaporn</FirstName>
					<LastName>Youngkong</LastName>
<Affiliation>Division of Social and Administrative Pharmacy, Department
of Pharmacy, Faculty of Pharmacy, Mahidol University, Bangkok, Thailand</Affiliation>
<Identifier Source="ORCID">0000-0002-2448-3954</Identifier>

</Author>
<Author>
					<FirstName>Arthorn</FirstName>
					<LastName>Riewpaiboon</LastName>
<Affiliation>Division of Social and Administrative Pharmacy, Department
of Pharmacy, Faculty of Pharmacy, Mahidol University, Bangkok, Thailand</Affiliation>
<Identifier Source="ORCID">0000-0003-2959-3244</Identifier>

</Author>
</AuthorList>
				<PublicationType>Journal Article</PublicationType>
			<History>
				<PubDate PubStatus="received">
					<Year>2024</Year>
					<Month>12</Month>
					<Day>01</Day>
				</PubDate>
			</History>
		<Abstract>&lt;span class=&quot;fontstyle0&quot;&gt;Background  &lt;/span&gt;&lt;br /&gt;&lt;span class=&quot;fontstyle2&quot;&gt;Between 2010 and 2019 in Thailand, hospital admissions due to toxic effects of non-medicinal substances &lt;/span&gt;&lt;span class=&quot;fontstyle2&quot;&gt;(International Classification of Diseases 10th Revision [ICD-10] codes: T51-T65) ranged from 59.78 to 87.47 per 100 000 &lt;/span&gt;&lt;span class=&quot;fontstyle2&quot;&gt;population. The objective of this study was to estimate the costs of non-medicinal poisoning from healthcare provider &lt;/span&gt;&lt;span class=&quot;fontstyle2&quot;&gt;perspective, and identify factors associated with the costs in Thailand for the year 2020.&lt;/span&gt;&lt;br /&gt; &lt;br /&gt;&lt;span class=&quot;fontstyle0&quot;&gt;Methods  &lt;/span&gt;&lt;br /&gt;&lt;span class=&quot;fontstyle2&quot;&gt;This was a prevalence-based cost-of-illness study conducted from healthcare provider perspective, analysing &lt;/span&gt;&lt;span class=&quot;fontstyle2&quot;&gt;data from five hospitals (four regional and one provincial) across the Central, North, and Northeast regions of Thailand. &lt;/span&gt;&lt;span class=&quot;fontstyle2&quot;&gt;We included all patients diagnosed with non-medicinal poisoning (ICD-10 codes: T51-T65) during the fiscal year 2020. &lt;/span&gt;&lt;span class=&quot;fontstyle2&quot;&gt;Direct medical costs were calculated from hospital databases, estimating the cost per outpatient/emergency visit and the &lt;/span&gt;&lt;span class=&quot;fontstyle2&quot;&gt;cost per hospital admission. Multiple regression analysis was used to determine the factors affecting these costs. All total &lt;/span&gt;&lt;span class=&quot;fontstyle2&quot;&gt;costs were converted to international dollar (Int$) for 2020.&lt;/span&gt;&lt;br /&gt; &lt;br /&gt;&lt;span class=&quot;fontstyle0&quot;&gt;Results  &lt;/span&gt;&lt;br /&gt;&lt;span class=&quot;fontstyle2&quot;&gt;A total of 3260 patients were included (2472 outpatient visits and 788 admissions). The mean age was 39 years, &lt;/span&gt;&lt;span class=&quot;fontstyle2&quot;&gt;with 51% being male. The mean cost per outpatient visit was Int$ 47, and the mean cost per admission was Int$ 896. Key &lt;/span&gt;&lt;span class=&quot;fontstyle2&quot;&gt;factors significantly associated with higher costs included patient type (outpatient vs admission), length of stay (LOS), &lt;/span&gt;&lt;span class=&quot;fontstyle2&quot;&gt;age, insurance scheme, diagnosis group, and the presence of comorbidities.&lt;/span&gt;&lt;br /&gt; &lt;br /&gt;&lt;span class=&quot;fontstyle0&quot;&gt;Conclusion  &lt;/span&gt;&lt;br /&gt;&lt;span class=&quot;fontstyle2&quot;&gt;This study provided critical, updated data that can inform health policy by emphasizing the economic &lt;/span&gt;&lt;span class=&quot;fontstyle2&quot;&gt;burden of non-medicinal poisoning. These findings underscore the need for strengthening poisoning prevention &lt;/span&gt;&lt;span class=&quot;fontstyle2&quot;&gt;and early intervention services and offer essential data for conducting future economic evaluation studies of relevant &lt;/span&gt;&lt;span class=&quot;fontstyle2&quot;&gt;interventions in Thailand.&lt;/span&gt;</Abstract>
		<ObjectList>
			<Object Type="keyword">
			<Param Name="value">Economic Burden</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Non-medicinal Poisoning</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Cost-of-Illness</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Thailand</Param>
			</Object>
		</ObjectList>
<ArchiveCopySource DocType="pdf">https://www.ijhpm.com/article_4828_a449cbf73bce2c53be2471469c312c7e.pdf</ArchiveCopySource>
</Article>

<Article>
<Journal>
				<PublisherName>Kerman University of Medical Sciences</PublisherName>
				<JournalTitle>International Journal of Health Policy and Management</JournalTitle>
				<Issn>2322-5939</Issn>
				<Volume>15</Volume>
				<Issue>1</Issue>
				<PubDate PubStatus="epublish">
					<Year>2026</Year>
					<Month>12</Month>
					<Day>01</Day>
				</PubDate>
			</Journal>
<ArticleTitle>Religion, Politics, and Vaccines: Elaborating the Integrative Public Policy Acceptance (IPAC) Framework Through HPV Vaccine Program Acceptance Among Religious Leaders in Bangladesh</ArticleTitle>
<VernacularTitle></VernacularTitle>
			<FirstPage>1</FirstPage>
			<LastPage>13</LastPage>
			<ELocationID EIdType="pii">4829</ELocationID>
			
<ELocationID EIdType="doi">10.34172/ijhpm.9179</ELocationID>
			
			<Language>EN</Language>
<AuthorList>
<Author>
					<FirstName>Md Towhidur</FirstName>
					<LastName>Rahman</LastName>

						<AffiliationInfo>
						<Affiliation>Government of Bangladesh, Ministry of Public Administration, Dhaka,
Bangladesh</Affiliation>
						</AffiliationInfo>

						<AffiliationInfo>
						<Affiliation>VaxPolLab, School of Social Sciences, The University of Western
Australia, Perth, WA, Australia</Affiliation>
						</AffiliationInfo>
<Identifier Source="ORCID">0000-0001-8423-9374</Identifier>

</Author>
<Author>
					<FirstName>Sultan</FirstName>
					<LastName>Mahmood</LastName>
<Affiliation>ShuHaRi Health, Dhaka, Bangladesh</Affiliation>

</Author>
<Author>
					<FirstName>Katie</FirstName>
					<LastName>Attwell</LastName>
<Affiliation>VaxPolLab, School of Social Sciences, The University of Western
Australia, Perth, WA, Australia</Affiliation>

</Author>
</AuthorList>
				<PublicationType>Journal Article</PublicationType>
			<History>
				<PubDate PubStatus="received">
					<Year>2025</Year>
					<Month>04</Month>
					<Day>24</Day>
				</PubDate>
			</History>
		<Abstract>&lt;span class=&quot;fontstyle0&quot;&gt;Background  &lt;/span&gt;&lt;br /&gt;&lt;span class=&quot;fontstyle2&quot;&gt;In October 2023, Bangladesh introduced a free, single-dose human papillomavirus (HPV) vaccine for girls &lt;/span&gt;&lt;span class=&quot;fontstyle2&quot;&gt;aged 9–14 through its national vaccination program to prevent cervical cancer, the second most common cancer among &lt;/span&gt;&lt;span class=&quot;fontstyle2&quot;&gt;Bangladeshi females, caused by the HPV. Although vaccine hesitancy was not a significant issue before the COVID-19 &lt;/span&gt;&lt;span class=&quot;fontstyle2&quot;&gt;pandemic, experiences from that pandemic and global literature suggest that the population’s uptake of this vaccine may &lt;/span&gt;&lt;span class=&quot;fontstyle2&quot;&gt;face barriers due to concerns related to reproductive health, fertility, and cultural and religious beliefs. This is particularly &lt;/span&gt;&lt;span class=&quot;fontstyle2&quot;&gt;relevant in a country where Islam is the state religion, 91% of the population is Muslim, and religious leaders hold &lt;/span&gt;&lt;span class=&quot;fontstyle2&quot;&gt;significant influence over public opinion.&lt;/span&gt;&lt;br /&gt; &lt;br /&gt;&lt;span class=&quot;fontstyle0&quot;&gt;Methods  &lt;/span&gt;&lt;br /&gt;&lt;span class=&quot;fontstyle2&quot;&gt;Building upon the recently developed Integrative Public Policy Acceptance (IPAC) framework, this qualitative &lt;/span&gt;&lt;span class=&quot;fontstyle2&quot;&gt;study explores the factors shaping religious leaders’ support for the HPV vaccine informing their potential role in &lt;/span&gt;&lt;span class=&quot;fontstyle2&quot;&gt;promoting it. Semi-structured interviews with leaders from Bangladesh’s five main Islamic traditions were thematically &lt;/span&gt;&lt;span class=&quot;fontstyle2&quot;&gt;analysed using NVivo 14 with inductive and deductive coding.&lt;/span&gt;&lt;br /&gt; &lt;br /&gt;&lt;span class=&quot;fontstyle0&quot;&gt;Results  &lt;/span&gt;&lt;br /&gt;&lt;span class=&quot;fontstyle2&quot;&gt;Islamic religious leaders’ varying support for HPV vaccinations in Bangladesh was influenced by their limited &lt;/span&gt;&lt;span class=&quot;fontstyle2&quot;&gt;awareness of cervical cancer, as well as their religious and social concerns about ingredients, side effects and a fear of &lt;/span&gt;&lt;span class=&quot;fontstyle2&quot;&gt;promoting promiscuity. Political ideologies also played a significant role, as leaders were less supportive of the program &lt;/span&gt;&lt;span class=&quot;fontstyle2&quot;&gt;when they perceived the government as ideologically opposed to the beliefs or practices of their specific religious &lt;/span&gt;&lt;span class=&quot;fontstyle2&quot;&gt;tradition.&lt;/span&gt;&lt;br /&gt; &lt;br /&gt;&lt;span class=&quot;fontstyle0&quot;&gt;Conclusion  &lt;/span&gt;&lt;br /&gt;&lt;span class=&quot;fontstyle2&quot;&gt;The study’s contribution to the IPAC framework highlights the importance of political consensus in policy &lt;/span&gt;&lt;span class=&quot;fontstyle2&quot;&gt;acceptance, explaining how partisanship and ideological differences impact public policy compliance. The findings &lt;/span&gt;&lt;span class=&quot;fontstyle2&quot;&gt;underscore the need for health systems in Muslim majority countries to engage with religious authorities, build political &lt;/span&gt;&lt;span class=&quot;fontstyle2&quot;&gt;inclusivity and consensus, and align health policies with religious and cultural values.&lt;/span&gt;</Abstract>
		<ObjectList>
			<Object Type="keyword">
			<Param Name="value">Cervical Cancer</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">HPV Vaccine</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Vaccine Hesitancy</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Bangladesh</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Muslim Religious Leaders</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Political Consensus</Param>
			</Object>
		</ObjectList>
<ArchiveCopySource DocType="pdf">https://www.ijhpm.com/article_4829_91c3e7a1401348ee56a4612f088980bd.pdf</ArchiveCopySource>
</Article>

<Article>
<Journal>
				<PublisherName>Kerman University of Medical Sciences</PublisherName>
				<JournalTitle>International Journal of Health Policy and Management</JournalTitle>
				<Issn>2322-5939</Issn>
				<Volume>15</Volume>
				<Issue>1</Issue>
				<PubDate PubStatus="epublish">
					<Year>2026</Year>
					<Month>12</Month>
					<Day>01</Day>
				</PubDate>
			</Journal>
<ArticleTitle>United Nations Partnerships With the Alcohol Industry</ArticleTitle>
<VernacularTitle></VernacularTitle>
			<FirstPage>1</FirstPage>
			<LastPage>12</LastPage>
			<ELocationID EIdType="pii">4831</ELocationID>
			
<ELocationID EIdType="doi">10.34172/ijhpm.8947</ELocationID>
			
			<Language>EN</Language>
<AuthorList>
<Author>
					<FirstName>June Yue Yan</FirstName>
					<LastName>Leung</LastName>
<Affiliation>SHORE and Whariki Research Centre, College of Health, Massey University, Auckland, New Zealand</Affiliation>

</Author>
<Author>
					<FirstName>Sally</FirstName>
					<LastName>Casswell</LastName>
<Affiliation>SHORE and Whariki Research Centre, College of Health, Massey University, Auckland, New Zealand</Affiliation>

</Author>
</AuthorList>
				<PublicationType>Journal Article</PublicationType>
			<History>
				<PubDate PubStatus="received">
					<Year>2024</Year>
					<Month>12</Month>
					<Day>11</Day>
				</PubDate>
			</History>
		<Abstract>&lt;span class=&quot;fontstyle0&quot;&gt;Background  &lt;/span&gt;&lt;br /&gt;&lt;span class=&quot;fontstyle2&quot;&gt;The alcohol industry builds engagement with United Nations (UN) organisations to enhance its corporate &lt;/span&gt;&lt;span class=&quot;fontstyle2&quot;&gt;image and influence policy, supported by the UN’s endorsement of public-private partnerships (PPPs). However, the &lt;/span&gt;&lt;span class=&quot;fontstyle2&quot;&gt;extent of the alcohol industry’s relationships with the UN remains unclear due to limited reporting.&lt;/span&gt;&lt;br /&gt; &lt;br /&gt;&lt;span class=&quot;fontstyle0&quot;&gt;Methods  &lt;/span&gt;&lt;br /&gt;&lt;span class=&quot;fontstyle2&quot;&gt;We searched the websites of 57 UN-affiliated entities and 18 transnational alcohol corporations (TNACs) for &lt;/span&gt;&lt;span class=&quot;fontstyle2&quot;&gt;evidence of partnerships or relationships between the UN and the alcohol industry. We summarised the UN entities &lt;/span&gt;&lt;span class=&quot;fontstyle2&quot;&gt;and TNACs involved in formal partnerships, membership of alliances or stakeholder networks, financial contributions, &lt;/span&gt;&lt;span class=&quot;fontstyle2&quot;&gt;sponsorship of programmes or projects, sponsorship of events, event participation, and personal relationships with &lt;/span&gt;&lt;span class=&quot;fontstyle2&quot;&gt;conflicts of interest.&lt;/span&gt;&lt;br /&gt; &lt;br /&gt;&lt;span class=&quot;fontstyle0&quot;&gt;Results  &lt;/span&gt;&lt;br /&gt;&lt;span class=&quot;fontstyle2&quot;&gt;We identified examples of all the above relationships between various UN entities and the world’s largest &lt;/span&gt;&lt;span class=&quot;fontstyle2&quot;&gt;TNACs, including an alcohol industry donation towards the World Health Organization (WHO) Foundation, which was &lt;/span&gt;&lt;span class=&quot;fontstyle2&quot;&gt;created to maximise private sector donations to WHO. The focus of these engagements aligned closely with the alcohol &lt;/span&gt;&lt;span class=&quot;fontstyle2&quot;&gt;industry’s corporate social responsibility (CSR) initiatives, including drink-driving prevention, education, sustainability, &lt;/span&gt;&lt;span class=&quot;fontstyle2&quot;&gt;and philanthropy. These activities frequently involved support for low- and middle-income countries (LMICs) and &lt;/span&gt;&lt;span class=&quot;fontstyle2&quot;&gt;women, which are emerging markets for the TNACs. Sponsorship and participation in intergovernmental events allowed &lt;/span&gt;&lt;span class=&quot;fontstyle2&quot;&gt;the TNACs privileged access to policy-makers. Limited disclosure by UN entities meant that our findings provided an &lt;/span&gt;&lt;span class=&quot;fontstyle2&quot;&gt;incomplete picture of relationships with the alcohol industry.&lt;/span&gt;&lt;br /&gt; &lt;br /&gt;&lt;span class=&quot;fontstyle0&quot;&gt;Conclusion  &lt;/span&gt;&lt;br /&gt;&lt;span class=&quot;fontstyle2&quot;&gt;The UN’s wide-ranging relationships with the TNACs highlight the power of these large corporations in &lt;/span&gt;&lt;span class=&quot;fontstyle2&quot;&gt;building political influence and the UN’s failure to acknowledge the alcohol industry’s conflicting interests with health. &lt;/span&gt;&lt;span class=&quot;fontstyle2&quot;&gt;These relationships undermine WHO’s mandate to promote health, placing the integrity and impartiality of the UN &lt;/span&gt;&lt;span class=&quot;fontstyle2&quot;&gt;system at risk. On top of adequate resources from member states and enhanced transparency measures, the UN requires &lt;/span&gt;&lt;span class=&quot;fontstyle2&quot;&gt;effective safeguards against alcohol industry influence, in line with those for the tobacco industry.&lt;/span&gt;</Abstract>
		<ObjectList>
			<Object Type="keyword">
			<Param Name="value">Alcohol</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Corporate Social Responsibility</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">industry</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Partnership</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">United Nations</Param>
			</Object>
		</ObjectList>
<ArchiveCopySource DocType="pdf">https://www.ijhpm.com/article_4831_1b8b8841d1d627018281f4a4536ac9de.pdf</ArchiveCopySource>
</Article>

<Article>
<Journal>
				<PublisherName>Kerman University of Medical Sciences</PublisherName>
				<JournalTitle>International Journal of Health Policy and Management</JournalTitle>
				<Issn>2322-5939</Issn>
				<Volume>15</Volume>
				<Issue>1</Issue>
				<PubDate PubStatus="epublish">
					<Year>2026</Year>
					<Month>12</Month>
					<Day>01</Day>
				</PubDate>
			</Journal>
<ArticleTitle>What Value Do Dutch Citizens Place on Health Interventions That Provide Greater Health Gains to Lower-Income Groups? A Discrete Choice Experiment</ArticleTitle>
<VernacularTitle></VernacularTitle>
			<FirstPage>1</FirstPage>
			<LastPage>14</LastPage>
			<ELocationID EIdType="pii">4837</ELocationID>
			
<ELocationID EIdType="doi">10.34172/ijhpm.9095</ELocationID>
			
			<Language>EN</Language>
<AuthorList>
<Author>
					<FirstName>Iris</FirstName>
					<LastName>Meulman</LastName>

						<AffiliationInfo>
						<Affiliation>Center for Public Health, Healthcare and Society, National Institute for Public
Health and the Environment, Bilthoven, The Netherlands</Affiliation>
						</AffiliationInfo>

						<AffiliationInfo>
						<Affiliation>Tranzo, Tilburg School
of Social and Behavioral Sciences, Tilburg University, Tilburg, The Netherlands</Affiliation>
						</AffiliationInfo>

</Author>
<Author>
					<FirstName>Adrienne</FirstName>
					<LastName>Rotteveel</LastName>
<Affiliation>Center for Public Health, Healthcare and Society, National Institute for Public
Health and the Environment, Bilthoven, The Netherlands</Affiliation>

</Author>
<Author>
					<FirstName>Ellen</FirstName>
					<LastName>Uiters</LastName>
<Affiliation>Netherlands School of Public &amp; Occupational Health, Utrecht, The Netherlands</Affiliation>

</Author>
<Author>
					<FirstName>Mariëlle</FirstName>
					<LastName>Cloin</LastName>
<Affiliation>Tranzo, Tilburg School
of Social and Behavioral Sciences, Tilburg University, Tilburg, The Netherlands</Affiliation>

</Author>
<Author>
					<FirstName>Johan</FirstName>
					<LastName>Polder</LastName>

						<AffiliationInfo>
						<Affiliation>Center for Public Health, Healthcare and Society, National Institute for Public
Health and the Environment, Bilthoven, The Netherlands</Affiliation>
						</AffiliationInfo>

						<AffiliationInfo>
						<Affiliation>Tranzo, Tilburg School
of Social and Behavioral Sciences, Tilburg University, Tilburg, The Netherlands</Affiliation>
						</AffiliationInfo>

</Author>
<Author>
					<FirstName>Niek</FirstName>
					<LastName>Stadhouders</LastName>

						<AffiliationInfo>
						<Affiliation>Scientific Center for Quality of Healthcare, Radboud University Medical Center,
Nijmegen, The Netherlands</Affiliation>
						</AffiliationInfo>

						<AffiliationInfo>
						<Affiliation>Department of Health Economics, School of
Business and Economics &amp; Talma Institute, Vrije Universiteit, Amsterdam, The
Netherlands</Affiliation>
						</AffiliationInfo>

</Author>
</AuthorList>
				<PublicationType>Journal Article</PublicationType>
			<History>
				<PubDate PubStatus="received">
					<Year>2025</Year>
					<Month>03</Month>
					<Day>18</Day>
				</PubDate>
			</History>
		<Abstract>&lt;span class=&quot;fontstyle0&quot;&gt;Background  &lt;/span&gt;&lt;br /&gt;&lt;span class=&quot;fontstyle2&quot;&gt;Reimbursement decisions for new health interventions focus on maximizing health gains, with limited &lt;/span&gt;&lt;span class=&quot;fontstyle2&quot;&gt;attention to who benefits from these gains or the impact on income related health inequalities. This study aimed &lt;/span&gt;&lt;span class=&quot;fontstyle2&quot;&gt;to examine the preferences of Dutch citizens regarding the distribution of health gains of new interventions across &lt;/span&gt;&lt;span class=&quot;fontstyle2&quot;&gt;income groups.&lt;/span&gt;&lt;br /&gt; &lt;br /&gt;&lt;span class=&quot;fontstyle0&quot;&gt;Methods  &lt;/span&gt;&lt;br /&gt;&lt;span class=&quot;fontstyle2&quot;&gt;A discrete choice experiment (DCE) was completed by 614 Dutch adults. Respondents were presented &lt;/span&gt;&lt;span class=&quot;fontstyle2&quot;&gt;with 12 choice tasks. In each choice task, they were asked to choose between two health interventions that differed &lt;/span&gt;&lt;span class=&quot;fontstyle2&quot;&gt;on the following attributes: total healthy life years gained, distribution of healthy life years gained across income &lt;/span&gt;&lt;span class=&quot;fontstyle2&quot;&gt;groups, additional costs in terms of health insurance premium increases and whether the intervention was curative &lt;/span&gt;&lt;span class=&quot;fontstyle2&quot;&gt;or preventive. Preferences were estimated using multinomial logit (MNL) models, relative attribute importance, &lt;/span&gt;&lt;span class=&quot;fontstyle2&quot;&gt;willingness-to-pay, and willingness-to-trade total health gains. Preference heterogeneity was examined using latent &lt;/span&gt;&lt;span class=&quot;fontstyle2&quot;&gt;class (LC) analyses.&lt;/span&gt;&lt;br /&gt; &lt;br /&gt;&lt;span class=&quot;fontstyle0&quot;&gt;Results  &lt;/span&gt;&lt;br /&gt;&lt;span class=&quot;fontstyle2&quot;&gt;Respondents found the distribution of health gains by income the most important attribute in their decision &lt;/span&gt;&lt;span class=&quot;fontstyle2&quot;&gt;between health interventions (relative importance [RI] = 40.5%, 95% CI: 38.3%–42.7%). Overall, respondents preferred &lt;/span&gt;&lt;span class=&quot;fontstyle2&quot;&gt;an equal distribution of healthy life years gained across income groups (β&lt;/span&gt;&lt;span class=&quot;fontstyle2&quot; style=&quot;font-size: 5pt;&quot;&gt;higher income groups &lt;/span&gt;&lt;span class=&quot;fontstyle2&quot;&gt;= -1.427, 95% CI: -1.547–-1.307; &lt;/span&gt;&lt;span class=&quot;fontstyle2&quot;&gt;β&lt;/span&gt;&lt;span class=&quot;fontstyle2&quot; style=&quot;font-size: 5pt;&quot;&gt;lower-income groups &lt;/span&gt;&lt;span class=&quot;fontstyle2&quot;&gt;= -0.315, 95% CI: -0.395–-0.235). A health intervention should yield 14 283 (95% CI: 10 463–18&lt;/span&gt;&lt;span class=&quot;fontstyle2&quot; style=&quot;font-size: 0pt;&quot;&gt;, &lt;/span&gt;&lt;span class=&quot;fontstyle2&quot;&gt;102) &lt;/span&gt;&lt;span class=&quot;fontstyle2&quot;&gt;additional healthy life years or reduce the yearly health insurance premium by €39.96 (95% CI: €29.03–€50.89) if &lt;/span&gt;&lt;span class=&quot;fontstyle2&quot;&gt;it mainly favors lower-income groups. Preventive interventions were generally preferred over equally effective or &lt;/span&gt;&lt;span class=&quot;fontstyle2&quot;&gt;more effective curative interventions (β&lt;/span&gt;&lt;span class=&quot;fontstyle2&quot; style=&quot;font-size: 5pt;&quot;&gt;prevention &lt;/span&gt;&lt;span class=&quot;fontstyle2&quot;&gt;= 0.270, 95% CI: 0.204–0.336). While preferences displayed a similar &lt;/span&gt;&lt;span class=&quot;fontstyle2&quot;&gt;direction across LCs, the classes differed in the RI assigned to the attributes.&lt;/span&gt;&lt;br /&gt; &lt;br /&gt;&lt;span class=&quot;fontstyle0&quot;&gt;Conclusion  &lt;/span&gt;&lt;br /&gt;&lt;span class=&quot;fontstyle2&quot;&gt;Our findings suggest societal support for interventions that prioritize preventive programs over equally &lt;/span&gt;&lt;span class=&quot;fontstyle2&quot;&gt;effective or more effective curative interventions and prioritize interventions that provide equal benefits across &lt;/span&gt;&lt;span class=&quot;fontstyle2&quot;&gt;different income groups.&lt;/span&gt;</Abstract>
		<ObjectList>
			<Object Type="keyword">
			<Param Name="value">Discrete Choice Experiment</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Healthcare Resource Allocation</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Socioeconomic Health Inequality</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Equity-Efficiency Trade-Off</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Prevention</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Priority Setting</Param>
			</Object>
		</ObjectList>
<ArchiveCopySource DocType="pdf">https://www.ijhpm.com/article_4837_a3171a79ca3375bbf0acf021affc223e.pdf</ArchiveCopySource>
</Article>

<Article>
<Journal>
				<PublisherName>Kerman University of Medical Sciences</PublisherName>
				<JournalTitle>International Journal of Health Policy and Management</JournalTitle>
				<Issn>2322-5939</Issn>
				<Volume>15</Volume>
				<Issue>1</Issue>
				<PubDate PubStatus="epublish">
					<Year>2026</Year>
					<Month>12</Month>
					<Day>01</Day>
				</PubDate>
			</Journal>
<ArticleTitle>Multiple Chronic Conditions, Delayed Medical Care and Hospitalization: A Comparison Between the United States and Taiwan</ArticleTitle>
<VernacularTitle></VernacularTitle>
			<FirstPage>1</FirstPage>
			<LastPage>10</LastPage>
			<ELocationID EIdType="pii">4840</ELocationID>
			
<ELocationID EIdType="doi">10.34172/ijhpm.9164</ELocationID>
			
			<Language>EN</Language>
<AuthorList>
<Author>
					<FirstName>Chen-Yang</FirstName>
					<LastName>Wang</LastName>
<Affiliation>Institute of Health Policy and Management, College of Public Health, National
Taiwan University, Taipei, Taiwan</Affiliation>

</Author>
<Author>
					<FirstName>Ching-Ching Claire</FirstName>
					<LastName>Lin</LastName>

						<AffiliationInfo>
						<Affiliation>Institute of Health Policy and Management, College of Public Health, National
Taiwan University, Taipei, Taiwan</Affiliation>
						</AffiliationInfo>

						<AffiliationInfo>
						<Affiliation>Population Health Research Center, National
Taiwan University, Taipei, Taiwan</Affiliation>
						</AffiliationInfo>

						<AffiliationInfo>
						<Affiliation>Master of Public Health Degree Program,
College of Public Health, National Taiwan University, Taipei, Taiwan</Affiliation>
						</AffiliationInfo>
<Identifier Source="ORCID">0000-0002-4882-2826</Identifier>

</Author>
<Author>
					<FirstName>Raymond N.</FirstName>
					<LastName>Kuo</LastName>

						<AffiliationInfo>
						<Affiliation>Institute of Health Policy and Management, College of Public Health, National
Taiwan University, Taipei, Taiwan</Affiliation>
						</AffiliationInfo>

						<AffiliationInfo>
						<Affiliation>Population Health Research Center, National
Taiwan University, Taipei, Taiwan</Affiliation>
						</AffiliationInfo>

</Author>
<Author>
					<FirstName>Joshua M.</FirstName>
					<LastName>Liao</LastName>
<Affiliation>Department
of Internal Medicine, UT Southwestern Medical Center, Dallas, TX, USA</Affiliation>

</Author>
</AuthorList>
				<PublicationType>Journal Article</PublicationType>
			<History>
				<PubDate PubStatus="received">
					<Year>2025</Year>
					<Month>04</Month>
					<Day>17</Day>
				</PubDate>
			</History>
		<Abstract>&lt;span class=&quot;fontstyle0&quot;&gt;Background  &lt;/span&gt;&lt;br /&gt;&lt;span class=&quot;fontstyle2&quot;&gt;Delays in medical care can be especially critical for individuals with multiple chronic conditions (MCCs). &lt;/span&gt;&lt;span class=&quot;fontstyle2&quot;&gt;The United States and Taiwan, with vastly different healthcare systems, offer contrasting contexts for access to care. This &lt;/span&gt;&lt;span class=&quot;fontstyle2&quot;&gt;study aims to examine the relationship between MCCs, delayed medical care and hospitalization in the US and Taiwan.&lt;/span&gt;&lt;br /&gt; &lt;br /&gt;&lt;span class=&quot;fontstyle0&quot;&gt;Methods  &lt;/span&gt;&lt;br /&gt;&lt;span class=&quot;fontstyle2&quot;&gt;This analysis used data from the US National Health Interview Survey (NHIS) 2021 (n = 29 482) and the &lt;/span&gt;&lt;span class=&quot;fontstyle2&quot;&gt;Taiwan Social Change Survey (TSCS) 2021 health module (n = 1604). We estimated multivariable logit regression models &lt;/span&gt;&lt;span class=&quot;fontstyle2&quot;&gt;and calculated differential effects of MCCs status (no chronic conditions, one chronic condition, MCCs) on outcomes. &lt;/span&gt;&lt;span class=&quot;fontstyle2&quot;&gt;Precision measures were estimated with delta method. All analyses for the US population incorporated applicable &lt;/span&gt;&lt;span class=&quot;fontstyle2&quot;&gt;complex survey design and weighting, and for the Taiwan population incorporated weighting when appropriate.&lt;/span&gt;&lt;br /&gt; &lt;br /&gt;&lt;span class=&quot;fontstyle0&quot;&gt;Results  &lt;/span&gt;&lt;br /&gt;&lt;span class=&quot;fontstyle2&quot;&gt;Compared to those with no chronic conditions, individuals in the US with one chronic condition (2.0 percentagepoints, &lt;/span&gt;&lt;span class=&quot;fontstyle3&quot;&gt;&lt;em&gt;P&lt;/em&gt; &lt;/span&gt;&lt;span class=&quot;fontstyle2&quot;&gt;&lt; .001) or MCCs (3.6 percentage-points, &lt;/span&gt;&lt;span class=&quot;fontstyle3&quot;&gt;&lt;em&gt;P&lt;/em&gt; &lt;/span&gt;&lt;span class=&quot;fontstyle2&quot;&gt;&lt; .001) had a higher likelihood of delayed care due to costs. In Taiwan, &lt;/span&gt;&lt;span class=&quot;fontstyle2&quot;&gt;delayed care was less likely among individuals with one chronic condition (5.6 percentage-points, &lt;/span&gt;&lt;span class=&quot;fontstyle3&quot;&gt;&lt;em&gt;P&lt;/em&gt; &lt;/span&gt;&lt;span class=&quot;fontstyle2&quot;&gt;= .08) or MCCs &lt;/span&gt;&lt;span class=&quot;fontstyle2&quot;&gt;(9.5 percentage-points, &lt;/span&gt;&lt;span class=&quot;fontstyle3&quot;&gt;&lt;em&gt;P&lt;/em&gt; &lt;/span&gt;&lt;span class=&quot;fontstyle2&quot;&gt;= .02), compared to individuals with no chronic conditions. Furthermore, individuals with &lt;/span&gt;&lt;span class=&quot;fontstyle2&quot;&gt;MCCs or one chronic condition are associated with higher hospitalization in both the US (6.1 percentage-point, &lt;/span&gt;&lt;span class=&quot;fontstyle3&quot;&gt;&lt;em&gt;P&lt;/em&gt; &lt;/span&gt;&lt;span class=&quot;fontstyle2&quot;&gt;&lt; .001; &lt;/span&gt;&lt;span class=&quot;fontstyle2&quot;&gt;1.6 percentage-point, &lt;/span&gt;&lt;span class=&quot;fontstyle3&quot;&gt;&lt;em&gt;P&lt;/em&gt; &lt;/span&gt;&lt;span class=&quot;fontstyle2&quot;&gt;= .001, respectively) and Taiwan (15.7 percentage-point, &lt;/span&gt;&lt;span class=&quot;fontstyle3&quot;&gt;&lt;em&gt;P&lt;/em&gt; &lt;/span&gt;&lt;span class=&quot;fontstyle2&quot;&gt;&lt; .001, 3.8 percentage-point, &lt;/span&gt;&lt;span class=&quot;fontstyle3&quot;&gt;&lt;em&gt;P&lt;/em&gt; &lt;/span&gt;&lt;span class=&quot;fontstyle2&quot;&gt;= .08, &lt;/span&gt;&lt;span class=&quot;fontstyle2&quot;&gt;respectively), although the differential effect of one chronic condition in Taiwan did not reach statistical significance.&lt;/span&gt;&lt;br /&gt; &lt;br /&gt;&lt;span class=&quot;fontstyle0&quot;&gt;Conclusion  &lt;/span&gt;&lt;br /&gt;&lt;span class=&quot;fontstyle2&quot;&gt;Analyzing data from two national health systems, this analysis shows differing relationships between &lt;/span&gt;&lt;span class=&quot;fontstyle2&quot;&gt;MCC status and delayed care, suggesting a possible bidirectional effect. As both regions undergo reforms—US efforts &lt;/span&gt;&lt;span class=&quot;fontstyle2&quot;&gt;to improve coordination and Taiwan’s rising risk of fragmented care—these findings offer insights relevant to policymakers and health system leaders beyond each country’s context.&lt;/span&gt;</Abstract>
		<ObjectList>
			<Object Type="keyword">
			<Param Name="value">Multiple Chronic Conditions</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Delayed Medical Care</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Hospitalization</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Access to Care</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Taiwan</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">United States</Param>
			</Object>
		</ObjectList>
<ArchiveCopySource DocType="pdf">https://www.ijhpm.com/article_4840_0428a9069e23dd4143fd5a4aa266dc32.pdf</ArchiveCopySource>
</Article>

<Article>
<Journal>
				<PublisherName>Kerman University of Medical Sciences</PublisherName>
				<JournalTitle>International Journal of Health Policy and Management</JournalTitle>
				<Issn>2322-5939</Issn>
				<Volume>15</Volume>
				<Issue>1</Issue>
				<PubDate PubStatus="epublish">
					<Year>2026</Year>
					<Month>12</Month>
					<Day>01</Day>
				</PubDate>
			</Journal>
<ArticleTitle>Applying Abstract Text Mining as a Complement to PRISMA in Reviewing the Scope of Healthcare’s Circular Economy; Comment on “A Review of the Applicability of Current Green Practices in Healthcare Facilities”</ArticleTitle>
<VernacularTitle></VernacularTitle>
			<FirstPage>1</FirstPage>
			<LastPage>7</LastPage>
			<ELocationID EIdType="pii">4833</ELocationID>
			
<ELocationID EIdType="doi">10.34172/ijhpm.9410</ELocationID>
			
			<Language>EN</Language>
<AuthorList>
<Author>
					<FirstName>Amin</FirstName>
					<LastName>Esmaeili</LastName>
<Affiliation>Industrial and Systems Engineering Department, Kennesaw State University, Marietta, GA, USA</Affiliation>

</Author>
</AuthorList>
				<PublicationType>Journal Article</PublicationType>
			<History>
				<PubDate PubStatus="received">
					<Year>2025</Year>
					<Month>08</Month>
					<Day>17</Day>
				</PubDate>
			</History>
		<Abstract>&lt;span class=&quot;fontstyle0&quot;&gt;Efforts to reduce the healthcare sector’s carbon footprint and greenhouse gas (GHG) emissions have brought &lt;/span&gt;&lt;span class=&quot;fontstyle0&quot;&gt;increased attention to the adoption of the circular economy (CE) in recent years. These efforts aim to lower carbon-intensive products while improving efficiency, waste reduction, and healthcare resilience. Soares et al conducted a &lt;/span&gt;&lt;span class=&quot;fontstyle0&quot;&gt;scoping review examining CE applicability in healthcare and identified strategies to enhance its implementation. &lt;/span&gt;&lt;span class=&quot;fontstyle0&quot;&gt;In this commentary paper, a novel abstract text mining (ATM) approach is introduced as a complement to the &lt;/span&gt;&lt;span class=&quot;fontstyle0&quot;&gt;standard Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) methodology. Using this &lt;/span&gt;&lt;span class=&quot;fontstyle0&quot;&gt;approach, the search terms employed by Soares et al were expanded, article abstracts were extracted, and scope &lt;/span&gt;&lt;span class=&quot;fontstyle0&quot;&gt;areas were mapped with the assistance of a well-established machine learning technique—latent Dirichlet allocation &lt;/span&gt;&lt;span class=&quot;fontstyle0&quot;&gt;(LDA) topic modeling. Comparison of the ATM results with those reported by Soares et al revealed three additional &lt;/span&gt;&lt;span class=&quot;fontstyle0&quot;&gt;scope areas: alternative treatment pathways, pharmaceutical footprint reduction, and the utilization of emerging &lt;/span&gt;&lt;span class=&quot;fontstyle0&quot;&gt;technologies.&lt;/span&gt;</Abstract>
		<ObjectList>
			<Object Type="keyword">
			<Param Name="value">Global Warming</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Climate Change</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Hospital</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Medical</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Clinics</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Environmental Impact</Param>
			</Object>
		</ObjectList>
<ArchiveCopySource DocType="pdf">https://www.ijhpm.com/article_4833_6a05a2442e48a1aa8ada7bfd7abc2ec8.pdf</ArchiveCopySource>
</Article>

<Article>
<Journal>
				<PublisherName>Kerman University of Medical Sciences</PublisherName>
				<JournalTitle>International Journal of Health Policy and Management</JournalTitle>
				<Issn>2322-5939</Issn>
				<Volume>15</Volume>
				<Issue>1</Issue>
				<PubDate PubStatus="epublish">
					<Year>2026</Year>
					<Month>12</Month>
					<Day>01</Day>
				</PubDate>
			</Journal>
<ArticleTitle>Advancing Public Health Through Internationally Coordinated Medical Device Registries; Comment on “Quality and Utility of European Cardiovascular and Orthopaedic Registries for the Regulatory Evaluation of Medical Device Safety and Performance Across the Implant Lifecycle: A Systematic Review”</ArticleTitle>
<VernacularTitle></VernacularTitle>
			<FirstPage>1</FirstPage>
			<LastPage>4</LastPage>
			<ELocationID EIdType="pii">4834</ELocationID>
			
<ELocationID EIdType="doi">10.34172/ijhpm.9383</ELocationID>
			
			<Language>EN</Language>
<AuthorList>
<Author>
					<FirstName>Herbert</FirstName>
					<LastName>Mauch</LastName>
<Affiliation>Cochlear AG, Basel, Switzerland</Affiliation>

</Author>
</AuthorList>
				<PublicationType>Journal Article</PublicationType>
			<History>
				<PubDate PubStatus="received">
					<Year>2025</Year>
					<Month>08</Month>
					<Day>05</Day>
				</PubDate>
			</History>
		<Abstract>&lt;span class=&quot;fontstyle0&quot;&gt;This commentary draws on findings from Hoogervorst et al&lt;/span&gt;&lt;span class=&quot;fontstyle0&quot; style=&quot;font-size: 5pt;&quot;&gt;1 &lt;/span&gt;&lt;span class=&quot;fontstyle0&quot;&gt;to underscore the urgent need for internationally &lt;/span&gt;&lt;span class=&quot;fontstyle0&quot;&gt;coordinated medical device registries, addressing the fragmentation and inconsistency currently limiting their &lt;/span&gt;&lt;span class=&quot;fontstyle0&quot;&gt;utility in Europe. It advocates for registries governed by academic specialty societies to ensure scientific integrity, &lt;/span&gt;&lt;span class=&quot;fontstyle0&quot;&gt;transparency, and clinical relevance. Such registries can significantly enhance post-market surveillance, support &lt;/span&gt;&lt;span class=&quot;fontstyle0&quot;&gt;regulatory compliance and accelerate real-world evidence (RWE) generation. The importance of standardized data &lt;/span&gt;&lt;span class=&quot;fontstyle0&quot;&gt;collection, regular outcome reporting, and contributor recognition to foster engagement and improve data quality &lt;/span&gt;&lt;span class=&quot;fontstyle0&quot;&gt;is highlighted. By complementing randomized controlled trials (RCTs), registries can detect rare adverse events, &lt;/span&gt;&lt;span class=&quot;fontstyle0&quot;&gt;inform clinical guidelines and drive innovation. Actionable recommendations for governance, data harmonization &lt;/span&gt;&lt;span class=&quot;fontstyle0&quot;&gt;and interoperability are given, emphasizing that now is the time for academic societies to lead this transformation &lt;/span&gt;&lt;span class=&quot;fontstyle0&quot;&gt;for the benefit of patients and healthcare systems globally.&lt;/span&gt;</Abstract>
		<ObjectList>
			<Object Type="keyword">
			<Param Name="value">Medical Device Registries</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Real-World Evidence (RWE)</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">International Coordination</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Academic Societies</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Post-market Surveillance</Param>
			</Object>
		</ObjectList>
<ArchiveCopySource DocType="pdf">https://www.ijhpm.com/article_4834_8ddd5d5c8ff3191d925989a912ad79c3.pdf</ArchiveCopySource>
</Article>

<Article>
<Journal>
				<PublisherName>Kerman University of Medical Sciences</PublisherName>
				<JournalTitle>International Journal of Health Policy and Management</JournalTitle>
				<Issn>2322-5939</Issn>
				<Volume>15</Volume>
				<Issue>1</Issue>
				<PubDate PubStatus="epublish">
					<Year>2026</Year>
					<Month>12</Month>
					<Day>01</Day>
				</PubDate>
			</Journal>
<ArticleTitle>Rethinking Human Resources for Health Planning in Labour Markets Disrupted by Conflict-Affected and Fragile Settings; Comment on “Human Resources for Health in Conflict Affected Settings: A Scoping Review of Primary Peer Reviewed Publications 2016–2022”</ArticleTitle>
<VernacularTitle></VernacularTitle>
			<FirstPage>1</FirstPage>
			<LastPage>4</LastPage>
			<ELocationID EIdType="pii">4835</ELocationID>
			
<ELocationID EIdType="doi">10.34172/ijhpm.9534</ELocationID>
			
			<Language>EN</Language>
<AuthorList>
<Author>
					<FirstName>Roomi</FirstName>
					<LastName>Aziz</LastName>
<Affiliation>Centre for Global Health and Intersectional Equity Research, University of Essex, Colchester, UK</Affiliation>

</Author>
</AuthorList>
				<PublicationType>Journal Article</PublicationType>
			<History>
				<PubDate PubStatus="received">
					<Year>2025</Year>
					<Month>10</Month>
					<Day>11</Day>
				</PubDate>
			</History>
		<Abstract>&lt;span class=&quot;fontstyle0&quot;&gt;In a world still grappling with exploring the underlying dynamics of challenges confronting human resources for &lt;/span&gt;&lt;span class=&quot;fontstyle0&quot;&gt;health (HRH), how must the HRH research and planning ensue in conflict-affected settings (CAS)? Onvlee and &lt;/span&gt;&lt;span class=&quot;fontstyle0&quot;&gt;colleagues undertake a scoping review to respond to this important question, using the World Health Organization’s &lt;/span&gt;&lt;span class=&quot;fontstyle0&quot;&gt;(WHO’s) Health Labour Market (HLM) framework, to leverage upon available evidence. This commentary appraises &lt;/span&gt;&lt;span class=&quot;fontstyle0&quot;&gt;the conceptual and methodological contributions of the review, while questioning the suitability of HLM to analyse &lt;/span&gt;&lt;span class=&quot;fontstyle0&quot;&gt;HRH challenges in disrupted health systems. It argues that CAS-specific HRH planning exacts frameworks and &lt;/span&gt;&lt;span class=&quot;fontstyle0&quot;&gt;approaches more attuned to political economy, contextual fragility, and structural inequalities, which shape healthcare &lt;/span&gt;&lt;span class=&quot;fontstyle0&quot;&gt;workers’ vulnerabilities and responses in CAS. The commentary identifies five gap questions for future scholarship, &lt;/span&gt;&lt;span class=&quot;fontstyle0&quot;&gt;calling for intersectionality-driven, politically informed and context-specific research approaches for HRH evidence, &lt;/span&gt;&lt;span class=&quot;fontstyle0&quot;&gt;transcending supply and demand framing of HRH, to inform HRH policies in conflict-affected and fragile settings.&lt;/span&gt;</Abstract>
		<ObjectList>
			<Object Type="keyword">
			<Param Name="value">Human Resources for Health</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Conflict-Affected Settings</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Fragile Health Systems</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Health Labour Market</Param>
			</Object>
		</ObjectList>
<ArchiveCopySource DocType="pdf">https://www.ijhpm.com/article_4835_8480848c5d6822500f9f909b695d2b6b.pdf</ArchiveCopySource>
</Article>

<Article>
<Journal>
				<PublisherName>Kerman University of Medical Sciences</PublisherName>
				<JournalTitle>International Journal of Health Policy and Management</JournalTitle>
				<Issn>2322-5939</Issn>
				<Volume>15</Volume>
				<Issue>1</Issue>
				<PubDate PubStatus="epublish">
					<Year>2026</Year>
					<Month>12</Month>
					<Day>01</Day>
				</PubDate>
			</Journal>
<ArticleTitle>Paying Attention – and Respect – to the Agency of Conflict-Affected Health Workers; Comment on “Human Resources for Health in Conflict Affected Settings: A Scoping Review of Primary Peer Reviewed Publications 2016–2022”</ArticleTitle>
<VernacularTitle></VernacularTitle>
			<FirstPage>1</FirstPage>
			<LastPage>4</LastPage>
			<ELocationID EIdType="pii">4839</ELocationID>
			
<ELocationID EIdType="doi">10.34172/ijhpm.9580</ELocationID>
			
			<Language>EN</Language>
<AuthorList>
<Author>
					<FirstName>Enrico</FirstName>
					<LastName>Pavignani</LastName>
<Affiliation>Institute for Law, Politics and Development (DIRPOLIS), Sant’Anna School of Advanced Studies, Pisa, Italy</Affiliation>

</Author>
</AuthorList>
				<PublicationType>Journal Article</PublicationType>
			<History>
				<PubDate PubStatus="received">
					<Year>2025</Year>
					<Month>11</Month>
					<Day>05</Day>
				</PubDate>
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		<Abstract>&lt;span class=&quot;fontstyle0&quot;&gt;The review stands out for its methodological rigour, clear results, and frank recognition of its limitations. However, &lt;/span&gt;&lt;span class=&quot;fontstyle0&quot;&gt;the picture proposed by it is incomplete. Two aspects of great consequence are discussed in this commentary as a &lt;/span&gt;&lt;span class=&quot;fontstyle0&quot;&gt;complement to the review. First, the political agency of human resources for health (HRHs) must always be considered. &lt;/span&gt;&lt;span class=&quot;fontstyle0&quot;&gt;Among them, many take sides in a variety of roles, overt or not, as militants, activists, supporters, and researchers. &lt;/span&gt;&lt;span class=&quot;fontstyle0&quot;&gt;Second, without including the informal practices adopted by HRH to survive and deliver in hostile environments, &lt;/span&gt;&lt;span class=&quot;fontstyle0&quot;&gt;the health labour market cannot be understood. Arguably, these two key dimensions were not prominent in the &lt;/span&gt;&lt;span class=&quot;fontstyle0&quot;&gt;review because the HRH literature prefers to focus on formal technical aspects easier to study and more likely to be &lt;/span&gt;&lt;span class=&quot;fontstyle0&quot;&gt;published. Some of the reasons behind their neglect are suggested by this commentary, which concludes with a few &lt;/span&gt;&lt;span class=&quot;fontstyle0&quot;&gt;remarks about how this drawback might be corrected.&lt;/span&gt;</Abstract>
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					<LastName>Porat-Dahlerbruch</LastName>

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						<Affiliation>Israel Implementation Science and Policy
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					<LastName>Nguyen</LastName>
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					<FirstName>Sumit</FirstName>
					<LastName>Kane</LastName>
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				<PublisherName>Kerman University of Medical Sciences</PublisherName>
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					<Day>01</Day>
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					<FirstName>Azam</FirstName>
					<LastName>Raoofi</LastName>
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					<FirstName>Elham</FirstName>
					<LastName>Ehsani-Chimeh</LastName>

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						<AffiliationInfo>
						<Affiliation>Department of Health Management,
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						</AffiliationInfo>

						<AffiliationInfo>
						<Affiliation>Health Equity Research Center (HERC),
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