A realist review of the causes of, and current interventions to address ‘missingness’ in health care

A realist review of the causes of, and current interventions to address ‘missingness’ in health care

<p><strong>Background</strong><br> This protocol describes a realist review exploring the problem of “missingness” in healthcare, defined as the repeated tendency not to take up offers of care that has a negative impact on the person and their life chances. More specifically,...

Fuld beskrivelse

Bibliografiske detaljer
Main Authors:	Lindsay, C, Baruffati, D, Mackenzie, M, Ellis, DA, Major, M, O'Donnell, K, Simpson, S, Williamson, A, Duddy, C, Wong, G
Format:	Journal article
Sprog:	English
Udgivet:	F1000Research 2023

Lignende værker

Understanding the causes of missingness in primary care: a realist review
af: Lindsay, C, et al.
Udgivet: (2024)

A realist review of the causes of, and current interventions to address ‘missingness’ in health care. [version 2; peer review: 1 approved, 2 approved with reservations]
af: Michelle Major, et al.
Udgivet: (2024-08-01)

Understanding the causes of missingness in primary care: a realist review
af: Calum Lindsay, et al.
Udgivet: (2024-06-01)

A Conference (Missingness in Action) to Address Missingness in Data and AI in Health Care: Qualitative Thematic Analysis
af: Christian Rose, et al.
Udgivet: (2023-11-01)

Much Ado About Missingness: A Demonstration of Full Information Maximum Likelihood Estimation to Address Missingness in Functional Magnetic Resonance Imaging Data
af: Timothy D. Nelson, et al.
Udgivet: (2021-09-01)

Multiple Imputation for Robust Cluster Analysis to Address Missingness in Medical Data
af: Arnold A. Harder, et al.
Udgivet: (2024-01-01)

Data Missingness Reporting and Use of Methods to Address It in Critical Care Cohort Studies
af: Ting Ting Wu, PharmD, et al.
Udgivet: (2023-11-01)

Grand rounds in methodology: when are realist reviews useful, and what does a ‘good’ realist review look like?
af: Duddy, C, et al.
Udgivet: (2022)

Explaining variations in test ordering in primary care: protocol for a realist review
af: Duddy, C, et al.
Udgivet: (2018)

Multi-Level Multi-Growth Models: New opportunities for addressing developmental theory using advanced longitudinal designs with planned missingness
af: Ethan M. McCormick
Udgivet: (2021-10-01)

Leveraging Machine Learning to Combat Missingness and Error in Data
af: Beverley Phillips, et al.
Udgivet: (2024-09-01)

An Enhanced Method for Tail Index Estimation under Missingness
af: F. Ayiah-Mensah, et al.
Udgivet: (2021-01-01)

Efficiency over thoroughness in laboratory testing decision-making in primary care: findings from a realist review
af: Duddy, C, et al.
Udgivet: (2020)

A Novel LSTM for Multivariate Time Series with Massive Missingness
af: Nazanin Fouladgar, et al.
Udgivet: (2020-05-01)

Non-Asymptotic Bounds of AIPW Estimators for Means with Missingness at Random
af: Fei Wang, et al.
Udgivet: (2023-02-01)

Informative missingness in electronic health record systems: the curse of knowing
af: Rolf H. H. Groenwold
Udgivet: (2020-07-01)

Improving RNN Performance by Modelling Informative Missingness with Combined Indicators
af: Frans J. Rodenburg, et al.
Udgivet: (2019-04-01)

idem: An R Package for Inferences in Clinical Trials with Death and Missingness
af: Chenguang Wang, et al.
Udgivet: (2020-05-01)

Gender-related data missingness, imbalance and bias in global health surveys
af: Beniamino Cislaghi, et al.
Udgivet: (2021-11-01)

Embracing the informative missingness and silent gene in analyzing biologically diverse samples
af: Dongping Du, et al.
Udgivet: (2024-11-01)

Studying missingness in spinal cord injury data: challenges and impact of data imputation
af: Lucie Bourguignon, et al.
Udgivet: (2024-01-01)

Cancer molecular subtyping using limited multi-omics data with missingness.
af: Yongqi Bu, et al.
Udgivet: (2024-12-01)

Causal Algebras on Chain Event Graphs with Informed Missingness for System Failure
af: Xuewen Yu, et al.
Udgivet: (2021-10-01)

On Missingness Features in Machine Learning Models for Critical Care: Observational Study
af: Janmajay Singh, et al.
Udgivet: (2021-12-01)

Methylation data imputation performances under different representations and missingness patterns
af: Pietro Di Lena, et al.
Udgivet: (2020-06-01)

NHS Health Check programme: a protocol for a realist review
af: Duddy, C, et al.
Udgivet: (2021)

Efficiency over thoroughness in laboratory testing decision making in primary care: findings from a realist review
af: Claire Duddy, et al.
Udgivet: (2021-01-01)

A realist review of community engagement with health research
af: Adhikari, B, et al.
Udgivet: (2019)

What happens after an NHS Health Check? A survey and realist review
af: Duddy, C, et al.
Udgivet: (2023)

Identifying evidence for five realist reviews in primary health care: a comparison of search methods
af: Duddy, C, et al.
Udgivet: (2021)

The Impact of Nonrandom Missingness in Surveillance Data for Population-Level Summaries: Simulation Study
af: Paul Samuel Weiss, et al.
Udgivet: (2022-09-01)

Understanding what happens to attendees after an NHS Health Check: a realist review
af: Duddy, C, et al.
Udgivet: (2022)

Importance of missingness in baseline variables: A case study of the All of Us Research Program.
af: Robert M Cronin, et al.
Udgivet: (2023-01-01)

Health visiting in the UK in light of the COVID-19 pandemic experience (RReHOPE): a realist review protocol
af: King, E, et al.
Udgivet: (2023)

Pairwise joint modeling of clustered and high-dimensional outcomes with covariate missingness in pediatric pneumonia care
af: Gachau, S, et al.
Udgivet: (2022)

Modified Bayesian Information Criterion for Item Response Models in Planned Missingness Test Designs
af: Alexander Robitzsch
Udgivet: (2024-11-01)

Time Series Analysis for Longitudinal Survey Data Under Informative Sampling and Nonignorable Missingness
af: Zhan Liu, et al.
Udgivet: (2022-08-01)

Estimation methods with ordered exposure subject to measurement error and missingness in semi-ecological design
af: Kim Hyang-Mi, et al.
Udgivet: (2012-09-01)

Data missingness in the Michigan NEMSIS (MI-EMSIS) dataset: a mixed-methods study
af: Mahshid Abir, et al.
Udgivet: (2021-04-01)

Estimating Average Treatment Effects Utilizing Fractional Imputation when Confounders are Subject to Missingness
af: Corder Nathan, et al.
Udgivet: (2020-12-01)