Tele-transitions of care. A 12-month, parallel-group, superiority randomized controlled trial protocol, evaluating the use of telehealth versus standard transitions of care in the prevention of avoidable hospital readmissions

The effectiveness of tele-transitions of care interventions in high-risk older adults: A systematic review and meta-analysis

BACKGROUND

Chronically ill older patients are often vulnerable to detrimental health outcomes and have increased risk of preventable readmission. Tele-transitions of care interventions utilizing telecommunications and surveillance technologies help monitor patients' conditions after discharge to prevent negative health outcomes.

OBJECTIVES

This systematic review and meta-analysis aimed to identify and synthesize available evidence on the effectiveness of tele-transitions of care interventions on various health outcomes in older adults at high risk for readmission discharged from acute setting.

METHODS

Published, unpublished studies and gray literatures were identified through searching PubMed, Medline, Embase, PsycINFO, Cochrane Library, CINAHL, Scopus, ProQuest Dissertations and theses and Google Scholar from inception to December 2021. Only randomized controlled trials published in English language assessing tele-transitions of care interventions on high-risk older adults were included. Meta-analyses were performed using random-effects model in RevMan 5.4. Sensitivity and subgroup and narrative analyses were conducted.

RESULTS

Fourteen studies were included, of which thirteen were considered for meta-analyses. Tele-transitions of care interventions were effective in reducing readmission rate (RR = 0.59, 95%CI 0.50-0.69, z = 6.28, p < 0.00001), mortality rate (RR = 0.72, 95%CI 0.53-0.98, z = 2.12, p = 0.03), and improving health-related quality of life (SMD = 0.24, Z = 2.04, p = 0.04). However, reduction of emergency department visit (RR = 1.10, 95%CI 0.59-2.06, z = 0.31, p = 0.76) and improvement of functional status (SMD = -0.06, Z = 0.19, p = 0.85) was not observed following intervention. Subgroup analysis found that the positive effects of tele-transitions of care interventions persist up to 180 days even after the intervention.

CONCLUSION

This systematic review and meta-analysis concluded that tele-transitions of care interventions have promising effects on readmission, mortality rate and health-related quality of life. Tele-transitions of care interventions are cost-effective and suitable for large-scale implementation in healthcare settings.

REGISTRATION

The protocol was registered on PROSPERO (CRD42022295665).

TWEETABLE ABSTRACT

Systematic review demonstrates that monitoring older patients at high risk of readmission, following discharge from hospital, using telecommunication and surveillance technologies significantly reduces readmission and mortality rates and improves their quality of life.

Transitions of care in Clostridioides difficile infection: a need of the hour

Clostridioides difficile infection (CDI) is a complex disease that by virtue of both its initial virulence and proclivity toward recurrent episodes causes a high morbidity, mortality, and financial burden. This burden is felt by patients and their families as well as the U.S. healthcare system. Recurrent CDI episodes can occur in 25-65% of patients, with a cycle of multiple recurrences in a single patient contributing to the complexity of care. Patients with or suspected of having CDI will receive treatment and their care will be managed across multiple healthcare settings and will include many different levels of healthcare workers. The understanding of this infection is essential for all who are involved in the care of these patients. A well-structured and implemented Transition of Care process can ease the burden on the healthcare system, patients, and their families; reduce the cost of care; and improve patient outcomes. We review the development of Transitions of Care processes, resource guides, and their relevance to improving the management of CDI.

Forecasting care seekers satisfaction with telemedicine using machine learning and structural equation modeling

Many individuals visit rural telemedicine centres to obtain safe and effective health remedies for their physical and emotional illnesses. This study investigates the antecedents of patients’ satisfaction relating to telemedicine adoption in rural public hospitals settings in Bangladesh through the adaptation of Expectation Disconfirmation Theory extended by Social Cognitive Theory. This research advances a theoretically sustained prediction model forecasting patients’ satisfaction with telemedicine to enable informed decision making. A research model explores four potential antecedents: expectations, performance, disconfirmation, and enjoyment; that significantly contribute to predicting patients’ satisfaction concerning telemedicine adoption in Bangladesh. This model is validated using two-staged structural equation modeling and artificial neural network approaches. The findings demonstrate the determinants of patients’ satisfaction with telemedicine. The presented model will assist medical practitioners, academics, and information systems practitioners to develop high-quality decisions in the future application of telemedicine. Pertinent implications, limitations and future research directions are endorsed securing long-term telemedicine sustainability.

Tele-transitions of care (TTOC): a 12-month, randomized controlled trial evaluating the use of Telehealth to achieve triple aim objectives

BACKGROUND

Poor transitions of care leads to increased health costs, over-utilization of emergency room departments, increased re-hospitalizations and causes poor patient experiences and outcomes. This study evaluated Telehealth feasibility in improving transitions of care.

METHODS

This is a 12-month randomized controlled trial, evaluating the use of telehealth (remote patient monitoring and video visits) versus standard transitions of care with the primary outcomes of hospital readmission and emergency department utilization and secondary outcomes of access to care, medication management and adherence and patient engagement. Electronic Medical Record data, Health Information Exchange data and phone survey data was collected. Multi-variable logistic regression models were created to evaluate the effect of Telehealth on hospital readmission, emergency department utilization, medication adherence. Chi-square tests or Fisher's exact tests were used to compare the percentages of categorical variables between the Telehealth and control groups. T tests or Wilcoxon rank sum tests were used to compared means and medians between the two randomized groups.

RESULTS

The study conducted between June 2017 and 2018, included 102 patients. Compared with the standard of care, Telehealth patients were more likely to have medicine reconciliation (p = 0.013) and were 7 times more likely to adhere to medication than the control group (p = 0.03). Telehealth patients exhibited enthusiasm (p = 0.0001), and confidence that Telehealth could improve their healthcare (p = 0.0001). Telehealth showed no statistical significance on emergency department utilization (p = 0.691) nor for readmissions (p = 0.31). 100% of Telehealth patients found the intervention to be valuable, 98% if given the opportunity, reported they would continue using telehealth to manage their healthcare needs, and 94% reported that the remote patient monitoring technology was useful.

CONCLUSIONS

Telehealth can improve transitions of care after hospital discharge improving patient engagement and adherence to medications. Although this study was unable to show the effect of Telehealth on reduced healthcare utilization, more research needs to be done in order to understand the true impact of Telehealth on preventing avoidable hospital readmission and emergency department visits.

TRIAL REGISTRATION

ClinicalTrials.Gov ID: NCT03528850 Date Registered (Retrospective): 5/18/2018. Status: Completed. IRB #: 970227.

Information technologies in healthcare: Enhancing or dehumanising doctor-patient interaction?

Since the very emergence of the information technologies in healthcare, a major concern has been raised about the potential of remote services to undermine the intimacy, immediacy and humanity intrinsic to conventional, face-to-face medical practice. By contrast, notable literature reports the benefits of information technology-mediated services and their potential to improve efficiency and economic convenience of healthcare systems. This article aims to shed light on this ambivalence by retracing the evolution of doctor-patient interaction in relation to the main technological advancements in healthcare, and in particular, to services mediated by information technologies. Consequently, the reduction of cues and clues associated with the use of these services is framed into the reductionism of the biomedical paradigm, which provides a key to interpret the nature, scope and features of this process of technological innovation, along with its potential and limits.