Health Services and Outcomes Research Methodology
Published by Springer Nature
ISSN : 1387-3741 eISSN : 1572-9400
Abbreviation : Health Serv. Outcome Res. Methodol.
Aims & Scope
he journal reflects the multidisciplinary nature of the field of health services and outcomes research.
It addresses the needs of multiple, interlocking communities, including methodologists in statistics, econometrics, social and behavioral sciences; designers and analysts of health policy and health services research projects; and health care providers and policy makers who need to properly understand and evaluate the results of published research.
The journal strives to enhance the level of methodologic rigor in health services and outcomes research and contributes to the development of methodologic standards in the field.
In pursuing its main objective, the journal also provides a meeting ground for researchers from a number of traditional disciplines and fosters the development of new quantitative, qualitative, and mixed methods by statisticians, econometricians, health services researchers, and methodologists in other fields.
View Aims & ScopeMetrics & Ranking
Impact Factor
Year | Value |
---|---|
2025 | 1.6 |
2024 | 1.60 |
SJR (SCImago Journal Rank)
Year | Value |
---|---|
2024 | 0.697 |
Quartile
Year | Value |
---|---|
2024 | Q2 |
h-index
Year | Value |
---|---|
2024 | 35 |
Journal Rank
Year | Value |
---|---|
2024 | 8151 |
Journal Citation Indicator
Year | Value |
---|---|
2024 | 200 |
Impact Factor Trend
Abstracting & Indexing
Journal is indexed in leading academic databases, ensuring global visibility and accessibility of our peer-reviewed research.
Subjects & Keywords
Journal’s research areas, covering key disciplines and specialized sub-topics in Medicine, designed to support cutting-edge academic discovery.
Most Cited Articles
The Most Cited Articles section features the journal's most impactful research, based on citation counts. These articles have been referenced frequently by other researchers, indicating their significant contribution to their respective fields.
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Using Propensity Scores to Help Design Observational Studies: Application to the Tobacco Litigation
Citation: 1709
Authors: Donald B.
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Estimation of Causal Effects using Propensity Score Weighting: An Application to Data on Right Heart Catheterization
Citation: 767
Authors: Keisuke, Guido W.
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Using propensity scores in difference-in-differences models to estimate the effects of a policy change
Citation: 424
Authors: Elizabeth A., Haiden A., Kenneth, Jeffrey, Zirui, Michael E., Colleen L.
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Using the Nominal Group Technique: how to analyse across multiple groups
Citation: 249
Authors: Sara S., Fiona, Adem, Elizabeth, Michelle A., Jennifer A., Amanda J.
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A Literature Review of the Use of GIS-Based Measures of Access to Health Care Services
Citation: 216
Authors: Gary
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Using the Census Bureau’s surname list to improve estimates of race/ethnicity and associated disparities
Citation: 185
Authors: Marc N., Peter A., Allen, Daniel F., Philip, Nicole
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Using Generalized Linear Models to Assess Medical Care Costs
Citation: 170
Authors: David K., Scott D.
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Estimating causal effects: considering three alternatives to difference-in-differences estimation
Citation: 166
Authors: Stephen, Noémi, Richard, Matthew, Jasjeet S.