2026-10-13T13:18:19Z https://api.figshare.com/v2/oai

oai:figshare.com:article/33821074 2026-09-15T20:03:49Z portal_1197 item_type_3 month_year_09_2026

Data for Publication bias in Health Services and Delivery Research (HSDR) : Analysis of publication status of cohorts of health services research studies Abimbola Ayorinde (15258449) Iestyn Williams (8379147) Russell Mannion (504146) Fujian Song (118737) Magdalena Skrybant (8379150) Richard J. Lilford (7596200) Yen-Fu Chen (159414) Medical care -- Research Scholarly publishing Medical publishing -- Great Britain Science publishing -- Great Britain Medical care -- Quality control Migrated from ePrints In Health Services and Delivery Research (HSDR), which looks at the best ways our services are delivered to patients, there hasn’t been much research on publication bias. This might be because health service delivery research is very complicated. In this study, we will look at publication bias in HSDR to see if it exists, what kinds of publication bias there are, and how we can detect or deal with it. We want to obtain and then share the information about publication bias so that researchers doing HSDR and users of findings from the research can take measures to make sure that the occurrence and impact of publication bias are minimised. Investigation of publication bias in HSDR is very important because its findings are often used to make policy decisions that will influence many people.<br><br>Data record consists of a single excel file containing the raw data. The data consists of a compilation of Health Services and Delivery Research (HSDR) outputs. 2021-03-17T00:00:00Z Dataset Dataset 10.82444/warw.33821074.v1 https://figshare.com/articles/dataset/Data_for_Publication_bias_in_Health_Services_and_Delivery_Research_HSDR_Analysis_of_publication_status_of_cohorts_of_health_services_research_studies/33821074 CC BY 4.0