Quasi-experimental evidence on short-and long-term consequences of bullying victimization: A meta-analysis.
Exposure to bullying victimization is associated with a wide-range of short and long-term
adverse outcomes. However, the extent to which these associations reflect a causal …
adverse outcomes. However, the extent to which these associations reflect a causal …
Propensity score methods in health technology assessment: principles, extended applications, and recent advances
MS Ali, D Prieto-Alhambra, LC Lopes… - Frontiers in …, 2019 - frontiersin.org
Randomized clinical trials (RCT) are accepted as the gold-standard approaches to measure
effects of intervention or treatment on outcomes. They are also the designs of choice for …
effects of intervention or treatment on outcomes. They are also the designs of choice for …
[HTML][HTML] Framework for the development and evaluation of complex interventions: gap analysis, workshop and consultation-informed update
Background The Medical Research Council published the second edition of its framework in
2006 on developing and evaluating complex interventions. Since then, there have been …
2006 on developing and evaluating complex interventions. Since then, there have been …
Integrating HIV services and other health services: a systematic review and meta-analysis
CA Bulstra, JAC Hontelez, M Otto, A Stepanova… - PLoS …, 2021 - journals.plos.org
Background Integration of HIV services with other health services has been proposed as an
important strategy to boost the sustainability of the global HIV response. We conducted a …
important strategy to boost the sustainability of the global HIV response. We conducted a …
Using natural experimental studies to guide public health action: turning the evidence-based medicine paradigm on its head
Despite smaller effect sizes, interventions delivered at population level to prevent non-
communicable diseases generally have greater reach, impact and equity than those …
communicable diseases generally have greater reach, impact and equity than those …
Conceptualising natural and quasi experiments in public health
Background Natural or quasi experiments are appealing for public health research because
they enable the evaluation of events or interventions that are difficult or impossible to …
they enable the evaluation of events or interventions that are difficult or impossible to …
The effectiveness of technology-facilitated personalized learning on learning achievements and learning perceptions: a meta-analysis
L Zheng, M Long, L Zhong, JF Gyasi - Education and Information …, 2022 - Springer
As a learner-centered approach, technology-facilitated personalized learning has received
increasing attention in the field of education. However, it is not clear whether technology …
increasing attention in the field of education. However, it is not clear whether technology …
How to choose an appropriate research data collection method and method choice among various research data collection methods and method choices during Ph. D …
GHR GHR, PS Aithal - International Journal of Management …, 2022 - papers.ssrn.com
Purpose: The purpose of this article is to explain the characteristics of data (qualitative and
quantitative), secondary data, primary data, various primary data collection methods, data …
quantitative), secondary data, primary data, various primary data collection methods, data …
[HTML][HTML] Quasi-experimental study designs series—paper 5: a checklist for classifying studies evaluating the effects on health interventions—a taxonomy without labels
Objectives The aim of the study was to extend a previously published checklist of study
design features to include study designs often used by health systems researchers and …
design features to include study designs often used by health systems researchers and …
The role of artificial intelligence in enhancing clinical nursing care: A scoping review
Aim To present an overview of how artificial intelligence has been used to improve clinical
nursing care. Background Artificial intelligence has been reshaping the healthcare industry …
nursing care. Background Artificial intelligence has been reshaping the healthcare industry …