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). For the intervention group, a tablet-based platform comprising comprehensive geriatric assessment, disease management, potentially inappropriate medication (PIM) management, rehabilitation program, and screening for adverse events and warning alarms were provided for physicians or nurses. The control group was managed with usual care. Co-primary outcomes were (1) control rate of hypertension and diabetes, (2) medication adjustment (PIM prescription rate, proportion of polypharmacy), and (3) combination of potential quality-of-care problems (composite quality indicator) from the interRAI assessment system which assessed after 3-month of intervention. RESULTS: We screened 1119 patients and included 555 patients (control; 289, intervention; 266) for analysis. Patients allocated to the intervention group had better cognitive function and took less medications and PIMs at baseline. The diabetes control rate (OR = 2.61, 95% CI 1.37-4.99, p = 0.0035), discontinuation of PIM (OR = 4.65, 95% CI 2.41-8.97, p < 0.0001), reduction of medication in patients with polypharmacy (OR = 1.98, 95% CI 1.24-3.16, p = 0.0042), and number of PIMs use (ꞵ = - 0.27, p < 0.0001) improved significantly in the intervention group. There was no significant difference in hypertension control rate (OR = 0.54, 95% CI 0.20-1.43, p = 0.2129), proportion of polypharmacy (OR = 1.40, 95% CI 0.75-2.60, p = 0.2863), and improvement of composite quality indicators (ꞵ = 0.03, p = 0.2094). For secondary outcomes, cognitive and motor function, quality of life, and unplanned hospitalization were not different significantly between groups. CONCLUSIONS: The information technology-supported integrated health service effectively reduced PIM use and controlled diabetes among older patients in LTCH or NH without functional decline or increase of healthcare utilization. TRIAL REGISTRATION: Clinical Research Information Service, KCT0004360. Registered on 21 October 2019.

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. The 21-month SPEC intervention guided by the chronic care model (CCM) consists of 5 strategies: comprehensive geriatric assessment, care planning, optional interdisciplinary case conferences, care coordination, and a cloud-based ICT tool along with a free messaging app. The primary outcome was quality of care measured by a composite quality indicator (QI) from the interRAI assessment system. Usual care continued over the control periods. Nursing home staff were not blinded to the intervention. RESULTS: There were a total of 482 older nursing home residents included in the analysis. Overall quality of care measured by the composite QI was significantly improved (adjusted mean difference: -0.025 [95% CI: -0.037 to -0.014, p < .0001]). The intervention effect was consistent in the subgroup analysis by cognition and activities of daily living. There were no important adverse events or side effects. DISCUSSION AND IMPLICATIONS: The SPEC, a CCM-guided, ICT-supported, multidisciplinary integrated care management intervention, can improve the quality of care measured by health and functional outcomes for frail older persons residing in nursing homes with limited health care provision. CLINICAL TRIALS REGISTRATION NUMBER: ISRCTN11972147.

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. Intervention involves registration with simple comprehensive geriatric assessment, establishment of an individualised care plan for three chronic diseases (hypertension, diabetes and heart failure), medication and rehabilitation management, periodic video-conference and in-system assessment after intervention period. Primary outcomes are control levels of the three chronic diseases, adequacy of drug management and overall functional status. Patients will be assessed at before and after study period and 3 months after study ended. Analysis will be carried out with an intention-to-treat principle. In addition to evaluate intervention effects, clinical usability and economic evaluation will be assessed. ETHICS AND DISSEMINATION: The study protocol was reviewed and approved by the Seoul National University Bundang Hospital Institutional Review Board. Study findings will be published in peer-reviewed journals. TRIAL REGISTRATION NUMBER: KCT0004360.

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. However, the instrument variable method often requires external instrument variables with certain conditions that cannot be verified empirically. Methods that use the within-cluster variations of the endogenous variable work under the restriction that either the outcome or the endogenous variable has a linear relationship with the cluster-level random effect. We propose a new method for binary outcome when it follows a logistic mixed-effects model and the endogenous variable is normally distributed but not linear in the random effect. The proposed estimator capitalizes on the nested data structure without requiring external instrument variables. We show that the proposed estimator is consistent and asymptotically normal. Furthermore, our method can be applied when the endogenous variable is missing in a cluster-specific nonignorable mechanism, without requiring that the missing mechanism be correctly specified. We evaluate the finite sample performance of the proposed approach via simulation and apply the method to a health care study using a San Diego inpatient dataset. Our study demonstrates that the clustered structure can be exploited to draw valid analysis of multilevel data with correlated effects.

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. Residents aged 65 or older meeting the inclusion/exclusion criteria in all the homes are eligible to participate. The multifaceted SPEC intervention, a geriatric care model guided by the chronic care model, consists of five components: comprehensive geriatric assessment for need/risk profiling, individual need-based care planning, interdisciplinary case conferences, person-centered care coordination, and a cloud-based information and communications technology (ICT) tool supporting the intervention process. The primary outcome is quality of care for older residents using a composite measure of quality indicators from the interRAI LTCF assessment system. Outcome assessors and data analysts will be blinded to group assignment. Secondary outcomes include quality of life, healthcare utilization, and cost. Process evaluation will be also conducted. DISCUSSION: This study is expected to provide important new evidence on the effectiveness, cost-effectiveness, and implementation process of an ICT-supported chronic care model for older persons with multiple chronic illnesses. The SPEC intervention is also unique as the first registered trial implementing an integrated care model using technology to promote person-centered care for frail older nursing home residents in South Korea, where formal LTC was recently introduced. TRIAL REGISTRATION: ISRCTN11972147.

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. PARTICIPANTS: In total, 509 775 patients aged 50 or older who were discharged alive from acute care hospitals (index hospitalizations), and 59 566 who had a rehospitalization within 30 days following their index discharge. INTERVENTION: No intervention. MAIN OUTCOME MEASURE(S): Thirty-day unplanned readmissions to a different hospital compared with the same hospital and also the costs and health outcomes of the readmissions. RESULTS: Twenty-one percent of patients with a rehospitalization had a different-hospital readmission. Compared with the same-hospital readmission group, the different-hospital readmission group was more likely to be younger, male and have a lower income. The index hospitals of the different-hospital readmission group were more likely to be smaller, for-profit hospitals, which were also more likely to be located in counties with higher competition. The different-hospital readmission group had higher odds for in-hospital death (8.1 vs. 6.7%; P < 0.0001) and greater readmission hospital costs ($15 671.8 vs. $14 286.4; P < 0.001) than the same-hospital readmission group. CONCLUSIONS: Patient, hospital and market characteristics predicted different-hospital readmissions compared with same-hospital readmissions. Mortality and cost outcomes were worse among patients with different-hospital readmissions. Strategies for better care coordination targeting people at risk for different-hospital readmissions are necessary.

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. We found that Nemo-Like Kinase (NLK) negatively regulates mesenchymal activities, a characteristic of aggressive GBM, in part via inhibition of WNT/ß-catenin signaling. Consistent with this, we found that NLK expression is especially low in a subset of GBMs that harbors high WNT/mesenchymal activities. Restoration of NLK inhibited WNT and mesenchymal activities, decreased clonogenic growth and survival, and impeded tumor growth in vivo. These data unravel a tumor suppressive role of NLK and support the feasibility of combining oncogenomics with in vivo RNAi screen.