Health Services & Outcomes Research Methodology
Overview
Health Services & Outcomes Research Methodology is a scientific journal, published since 2000 in English. The journal's country of origin is Netherlands.
Details
Details
Abbr.
Health Serv Outcomes Res Methodol
Start
2000
End
Continuing
Frequency
Quarterly
p-ISSN
1387-3741
e-ISSN
1572-9400
Country
Netherlands
Language
English
Metrics
Metrics
h-index / Ranks: 9912
33
SJR / Ranks: 6962
646
CiteScore / Ranks: 9213
2.70
Recent Articles
1.
Nasir M, Summerfield N, Carreiro S, Berlowitz D, Oztekin A
Health Serv Outcomes Res Methodol
. 2025 Mar;
25(1):1-28.
PMID: 40051756
Machine learning (ML) has the potential to revolutionize healthcare, allowing healthcare providers to improve patient-care planning, resource planning and utilization. Furthermore, identifying key-risk-factors and interaction-effects can help service-providers and decision-makers...
2.
Wang S, Qi M, Konetzka R
Health Serv Outcomes Res Methodol
. 2025 Feb;
25(1):29-41.
PMID: 39958809
Supplementary Information: The online version contains supplementary material available at 10.1007/s10742-024-00325-6.
3.
Schuler M, Coffman D, Stuart E, Nguyen T, Vegetabile B, McCaffrey D
Health Serv Outcomes Res Methodol
. 2025 Feb;
25(1):57-84.
PMID: 39958808
Mediation analysis is a statistical approach that can provide insights regarding the intermediary processes by which an intervention or exposure affects a given outcome. Mediation analyses rose to prominence, particularly...
4.
Papadogeorgou G, Menchetti F, Choirat C, Wasfy J, Zigler C, Mealli F
Health Serv Outcomes Res Methodol
. 2025 Jan;
23(4):433-451.
PMID: 39866244
Researchers are often faced with evaluating the effect of a policy or program that was simultaneously initiated across an entire population of units at a single point in time, and...
5.
Hartman N, Shahinian V, Ashby V, Price K, He K
Health Serv Outcomes Res Methodol
. 2024 Aug;
24(2):156-169.
PMID: 39145149
Healthcare quality measures are statistics that serve to evaluate healthcare providers and identify those that need to improve their care. Before using these measures in clinical practice, developers and reviewers...
6.
Myint L
Health Serv Outcomes Res Methodol
. 2024 Feb;
24(1):95-111.
PMID: 38405044
This article clarifies how the biostatistical literature on time-varying treatments (TVT) can provide tools for dealing with time-varying confounding in difference-in-differences (DiD) studies. I use a simulation study to compare...
7.
McInerney M, Mellor J, Ramamoorthy V, Sabik L
Health Serv Outcomes Res Methodol
. 2023 Oct;
23(4):416-432.
PMID: 37886716
Analysis of public policy affecting dual eligibles requires accurate identification of survey respondents eligible for both Medicare and Medicaid. Doing so for Medicaid is particularly challenging given the complex eligibility...
8.
Wu W, Kuriakose J, Weng W, Burney R, He K
Health Serv Outcomes Res Methodol
. 2023 Aug;
23:45-58.
PMID: 37621728
In addition to applications in meta-analysis, funnel plots have emerged as an effective graphical tool for visualizing the detection of health care providers with unusual performance. Although there already exist...
9.
Griffin B, Schuler M, Pane J, Patrick S, Smart R, Stein B, et al.
Health Serv Outcomes Res Methodol
. 2023 May;
23(2):149-165.
PMID: 37207017
Understanding how best to estimate state-level policy effects is important, and several unanswered questions remain, particularly about the ability of statistical models to disentangle the effects of concurrently enacted policies....
10.
Markoulidakis A, Taiyari K, Holmans P, Pallmann P, Busse M, Godley M, et al.
Health Serv Outcomes Res Methodol
. 2023 May;
23(2):115-148.
PMID: 37207016
Randomized controlled trials are the gold standard for measuring causal effects. However, they are often not always feasible, and causal treatment effects must be estimated from observational data. Observational studies...