Value in Health

Papers
(The H4-Index of Value in Health is 33. The table below lists those papers that are above that threshold based on CrossRef citation counts [max. 250 papers]. The publications cover those that have been published in the past four years, i.e., from 2021-11-01 to 2025-11-01.)
ArticleCitations
Author Reply651
Editorial Board559
EPH168 A Descriptive Epidemiological Study of Pediatric Sleep Medications in Japan: A Health Insurance Claims-Based Analysis121
EPH249 Epidemiology of Patients With Thymic Carcinoma in the United States: A Systematic Literature Review103
EPH282 3-Year Healthcare Resource Consumptions of Patients With Immunoglobulin A Nephropathy in a Large Real-World Italian Database95
EPH9 Influence of Front Nutritional Labeling on Consumer Choices Related to Ultra-Processed Foods: Scoping Review87
HTA64 Leveraging Machine Learning for Predicting Health Technology Assessment Outcomes70
EPH288 Characteristics of NASH Patients Who Develop Hepatocellular Carcinoma (HCC) With and Without a Corresponding Cirrhosis Diagnosis67
EPH48 Impact of Influenza-like Illness on Health-Related Quality of Life in Japanese Adults64
EPH80 Impact of the COVID-19 Pandemic on Arterial Hypertension Monitoring and Control in Portugal64
HPR15 Innovative Rebate Management in Oncology Drug Budgets: Streamlining Operations and Enhancing Financial Efficiency Through Technology in Newfoundland and Labrador's Cancer Care Program61
HTA170 Use of Off-Label Comparators in Health Technonology Assessment in Portugal: A Review of Reimbursement Appraisal Reports57
HPR7 The Discrepancy in Real-World Evidence of New Drug Expenditure Between Actual and Estimated Figures From Manufacturers and Government Agencies in Taiwan56
HPR97 More Public Funding? A Choice Experiment on the Healthcare Funding System for Older Populations55
HPR78 Opportunities and Barriers for the Implementation of the Personalized Medicine in Lithuania55
EPH147 Situational Analysis of Sexual Health in Cartagena and BolĂ­var, Colombia 202355
EPH187 Contextualizing the Impact of Multiple Sclerosis (MS) in England Through HES Analysis51
HTA310 Are Global Health Technology Assessment (HTA) Processes Inclusive and Equitable? A Scoping Review50
HPR225 Impact of the 2021 US Federal X-Waiver Practice Guideline Change on the Prescribing of Buprenorphine and Naltrexone for Treating Opioid Use Disorder in Medicaid Population50
When Do Value-Based Contracts Add Value? Insights From Probabilistic Simulations47
HTA368 Do We Need to Adapt Our Health Technology Assessment (HTA) Systematic Literature Review (SLR) Methods to Comply With the New Joint Clinical Assessment (JCA) SLR Requirements?47
Rare Diseases: Economic Evaluation and Policy Considerations45
MSR105 Tackling Rare Events in Network Meta-Analysis: Comparative Performance of Methods for Sparse Safety Outcomes43
HPR16 Performance Indicators for the Assessment of Ageing-in-Place Reform Policies: A Scoping Review and Evidence Map42
HTA86 Indirect Comparisons and Network Meta-Analysis in Spanish Drug Positioning Reports for Price and Financing42
MSR118 Integrating Large Language Models Into an Existing Review Process: Promises and Pitfalls42
HPR87 Poland's Medical Fund Act: Progress of the New Fast-Track TLI Reimbursement Pathway40
HTA78 Health Technology Assessment (HTA) Key Drivers for Oral Oncology Products: Comparison Between Brazil and European Countries39
HTA131 Opportunities for Patient Involvement in HTA in the Philippines: Lessons From Guidelines in Europe, North America, and the Asia-Pacific38
HPR185 Performance-Based vs Finance-Based Managed Entry Agreements (MEAs): Global Trends and Challenges38
MSR42 Time to Stop Sinking Resources Into Developing Predictive Models That Yield No Value: A Framework and Opportunities for Health Economic Methods Development to Reduce Waste in Prediction Model De38
HPR215 Exploring the Efficacy, Safety, and Regulatory Approval of Priority Reviewed Innovative Drugs in China (2015-2023)38
MSR50 Use of a Fine-Tuned, Clinical, Bidirectional Transformer (BERT) Large Language Model (LLM) to Classify the Patient and Caregiver Voice Through Their Social Media Health Posts: An Example in Non-34
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