Information technology-supported integrated health service for older adults in long-term care settings.

Background: To examine the effectiveness and safety of a data sharing and comprehensive management platform for institutionalized older patients.

Methods: We applied information technology-supported integrated health service platform to patients who live at long-term care hospitals (LTCHs) and nursing homes (NHs) with cluster randomized controlled study. We enrolled 555 patients aged 65 or older (461 from 7 LTCHs, 94 from 5 NHs).

Validation of an integrated service model, Health-RESPECT, for older patients in long-term care institution using information and communication technologies: protocol of a cluster randomised controlled trial.

Introduction: There is an increased healthcare need to manage institutionalised older patients owing to the ageing population. To overcome substantial future challenges, the Health-RESPECT (caRE Systems for Patients/Elderly with Coordinated care using icT), a new information and communication technologies based integrated management service model, was developed to provide effective management, enable consultation with distant professionals and share medical information between acute care hospitals and long-term care institutions.

Methods And Analysis: A cluster randomised controlled trial will be conducted to examine the effectiveness of the Health-RESPECT in older patients with chronic diseases and their medical staff in charge.

Effectiveness of a Technology-Enhanced Integrated Care Model for Frail Older People: A Stepped-Wedge Cluster Randomized Trial in Nursing Homes.

Background And Objectives: The objective of this study was to evaluate the impact of an information and communication technologies (ICT)-enhanced, multidisciplinary integrated care model, called Systems for Person-centered Elder Care (SPEC), on frail older adults at nursing homes.

Research Design And Methods: SPEC was implemented at 10 nursing homes in South Korea in random order using a stepped-wedge design. Data were collected on all participating older residents in the homes before the first implementation and until 6 months after the last implementation.

Cluster-specific nonignorably missing, endogenous, and continuous regressors in multilevel model for binary outcome.

In multilevel regression models for observational clustered data, regressors can be correlated with cluster-level error components, namely endogenous, due to omitted cluster-level covariates, measurement error, and simultaneity. When endogeneity is ignored, regression coefficient estimators can be severely biased. To deal with endogeneity, instrument variable methods have been widely used.

Evaluation of a technology-enhanced integrated care model for frail older persons: protocol of the SPEC study, a stepped-wedge cluster randomized trial in nursing homes.

Background: Limited evidence exists on the effectiveness of the chronic care model for people with multimorbidity. This study aims to evaluate the effectiveness of an information and communication technology- (ICT-)enhanced integrated care model, called Systems for Person-centered Elder Care (SPEC), for frail older adults at nursing homes.

Methods/design: SPEC is a prospective stepped-wedge cluster randomized trial conducted at 10 nursing homes in South Korea.

Predictors and outcomes of unplanned readmission to a different hospital.

Objectives: To examine patient, hospital and market factors and outcomes associated with readmission to a different hospital compared with the same hospital.

Design: A population-based, secondary analysis using multilevel causal modeling.

Setting: Acute care hospitals in California in the USA.

In vivo RNAi screen identifies NLK as a negative regulator of mesenchymal activity in glioblastoma.

Glioblastoma (GBM) is the most lethal brain cancer with profound genomic alterations. While the bona fide tumor suppressor genes such as PTEN, NF1, and TP53 have high frequency of inactivating mutations, there may be the genes with GBM-suppressive roles for which genomic mutation is not a primary cause for inactivation. To identify such genes, we employed in vivo RNAi screening approach using the patient-derived GBM xenograft models.